Explore 10 python data engineer jobs from 3 hiring companies in Oronoco, MN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

Mayo Clinic

Hormel Foods

Compeer Financial

Remote

Hybrid

Onsite

We are seeking a talented Senior Data Engineer to join our Advanced Data Lake (ADL) team. This is an infrastructure-heavy, hybrid cloud role with Google Cloud Platform (GCP) as a core requirement. You will build and operate enterprise data Lakehouse platforms that support large-scale analytics and digital transformation. 
 Your responsibilities will include architecting and maintaining automated data pipelines for ingesting, transforming, and integrating complex datasets. You will use DataStream for real-time data movement and Dataflow for processing at scale. Composer/Airflow will be leveraged for seamless scheduling, monitoring, and automation of pipeline operations. Infrastructure provisioning and workflow management will be handled with Terraform and Dataform to ensure reproducibility and adherence to best practices. All code and pipeline assets will be managed through git repositories, with CI/CD automation and streamlined releases enabled by Azure DevOps (ADO). Changes will be governed by ServiceNow processes to ensure traceability, auditability, and operational compliance. 
 Core duties involve working with cross-functional teams to translate business needs into pipeline specifications, building and optimizing data models for advanced analytics, and maintaining data quality and security throughout all processes. You will automate workflow monitoring and proactively resolve data issues, applying strong technical and problem-solving skills. 
 The ideal candidate will have proficiency in Python and SQL, with significant experience in Google Cloud Platform (especially Dataflow and DataStream), Terraform, Dataform, and orchestration with Composer/Airflow. Experience managing code in git repositories, working with Azure DevOps workflows, and following ServiceNow change management processes is required. Strong communication skills and the ability to manage multiple priorities in a remote, team-oriented environment are also necessary. 
 Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. May provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data &amp; Analytics technology framework is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights. 
 This is a full time remote position within the United States. &nbsp;Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM&gt;<h3>Qualifications</h3><div>A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of five years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate’s degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered. 
 Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. 
 Advanced experience in SQL is required. Strong Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java &amp; API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is preferred. Experience in DataOps/DevOps and agile methodologies is preferred. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred.&nbsp; 
 Google Cloud Platform (GCP) certification is preferred. 
 Preferred qualifications include hybrid or multi-cloud experience, familiarity with enterprise data governance, metadata, and lineage tools, and experience working in large, regulated environments. A GCP Professional Data Engineer certification is required.</div><h3>About Company</h3><div><div>
 Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.&nbsp;<a href="https://jobs.mayoclinic.org/alllocations" target="_blank" rel="nofollow">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a>&nbsp;
</div>
<div>
 
 <div>
 Equal Opportunity
 </div>
 <div>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">"EOE is the Law"</a>.&nbsp; Mayo Clinic participates in&nbsp;<a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank">E-Verify</a>&nbsp;and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
 </div>
</div></div><h2>Company</h2><div><div>
 Why Mayo Clinic
</div>
<div>
 Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and&nbsp;<a href="https://jobs.mayoclinic.org/benefits/" target="_blank" rel="nofollow">comprehensive benefit plans</a>&nbsp;– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
</div>
<div>
 
</div>
<div>
 Benefits Highlights 
 <ul>
 <li>Medical:&nbsp;Multiple plan options.</li>
 <li>Dental:&nbsp;Delta Dental or reimbursement account for flexible coverage.</li>
 <li>Vision:&nbsp;Affordable plan with national network.</li>
 <li>Pre-Tax Savings:&nbsp;HSA and FSAs for eligible expenses.</li>
 <li>Retirement: Competitive retirement package to secure your future.</li>
 </ul>
</div></div>

Senior Data Engineer

Five+ years in data visualization/engineering/analytical modeling; Bachelor's or Associate with related field; strong SQL and scripting; experience with hybrid data processing, big data, ML; GCP preferred; remote work.

Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. Will provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data &amp; Analytics technology framework is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.&nbsp;<h3>Qualifications</h3><div>A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of nine years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.&nbsp;
Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams&nbsp;are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Advanced Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java &amp; API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is required. Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred.&nbsp;</div><h3>About Company</h3><div><div>
 Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.&nbsp;<a href="https://jobs.mayoclinic.org/alllocations" target="_blank" rel="nofollow">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a>&nbsp;
</div>
<div>
 
 <div>
 Equal Opportunity
 </div>
 <div>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">"EOE is the Law"</a>.&nbsp; Mayo Clinic participates in&nbsp;<a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank">E-Verify</a>&nbsp;and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
 </div>
</div></div><h2>Company</h2><div><div>
 Why Mayo Clinic
</div>
<div>
 Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and&nbsp;<a href="https://jobs.mayoclinic.org/benefits/" target="_blank" rel="nofollow">comprehensive benefit plans</a>&nbsp;– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
</div>
<div>
 
</div>
<div>
 Benefits Highlights 
 <ul>
 <li>Medical:&nbsp;Multiple plan options.</li>
 <li>Dental:&nbsp;Delta Dental or reimbursement account for flexible coverage.</li>
 <li>Vision:&nbsp;Affordable plan with national network.</li>
 <li>Pre-Tax Savings:&nbsp;HSA and FSAs for eligible expenses.</li>
 <li>Retirement: Competitive retirement package to secure your future.</li>
 </ul>
</div></div>

Principal Data Engineer - AI Program

Principal Data Engineer

Bachelor’s or Associate with 7+ or 9+ years in data analytics/engineering and related fields; strong SQL, scripting, data processing, DevOps, and BI tools; healthcare experience preferred.

The Senior AI/ML Engineer is a hands-on builder who owns the highest-complexity agentic and LLM-enabled work in the Finance Shared Services pillar. This role designs and implements multi-agent systems, intelligent document processing at scale, and advanced predictive or generative solutions that extend the program beyond traditional RPA. The Senior AI/ML Engineer mentors AI/ML Engineers, partners tightly with the Solution Architect, and represents the pillar in cross-program AI practice forums.
Key Responsibilities:
<ul>
 <li>Lead design and implementation of high-complexity agentic and LLM-enabled solutions, including UiPath Maestro-based orchestration and multi-agent systems.</li>
 <li>Build and deploy advanced ML, LLM, and agentic components end-to-end, with production-grade reliability and observability.</li>
 <li>Define evaluation, monitoring, and responsible AI practices for pillar solutions, aligned to Mayo Clinic standards.</li>
 <li>Partner with the Solution Architect on architecture, reuse, and standards, and with delivery teams on implementation.</li>
 <li>Mentor AI/ML Engineers across the pillar and support their growth.</li>
 <li>Represent Finance Shared Services in cross-pillar AI practice forums; share patterns with Revenue Cycle and IA Enablement.</li>
 <li>Evaluate emerging AI capabilities and drive adoption decisions for the pillar.</li>
</ul><h3>Qualifications</h3><div>A master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience
OR
A bachelor’s degree with 6 years of experience
 
 • &nbsp; Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. 
 • &nbsp; Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes. 
 • &nbsp; Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. 
 • &nbsp; Demonstrated expertise in cloud infrastructure environment and software development tools. 
 • &nbsp; Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.&nbsp; 
 • &nbsp; Skilled in AI/ML techniques and frameworks. 
 • &nbsp; Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. 
 • &nbsp; Demonstrated initiative in administration, education, software development, and technical reporting.&nbsp; 
 • &nbsp; A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
 Preferred Qualifications:&nbsp;
<ul>
 <li>Strong proficiency in Python and modern ML/AI libraries (PyTorch or TensorFlow, LangChain or LangGraph, scikit-learn).</li>
 <li>Experience with UiPath Maestro, AI Center, Document Understanding, Communications Mining, or comparable automation AI tooling.</li>
 <li>Experience with Azure, GCP or another major cloud platform for AI workloads, including MLOps tooling.</li>
 <li>Experience mentoring engineers and shaping technical practice.</li>
 <li>Relevant AI certifications (Azure AI Engineer, AWS ML Specialty, etc.).</li>
</ul>
&nbsp;
*This position is a 100% remote work. Individual may live anywhere in the US. **This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.</div><h3>About Company</h3><div><div>
 Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.&nbsp;<a href="https://jobs.mayoclinic.org/alllocations" target="_blank" rel="nofollow">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a>&nbsp;
</div>
<div>
 
 <div>
 Equal Opportunity
 </div>
 <div>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">"EOE is the Law"</a>.&nbsp; Mayo Clinic participates in&nbsp;<a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank">E-Verify</a>&nbsp;and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
 </div>
</div></div><h2>Company</h2><div><div>
 Why Mayo Clinic
</div>
<div>
 Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and&nbsp;<a href="https://jobs.mayoclinic.org/benefits/" target="_blank" rel="nofollow">comprehensive benefit plans</a>&nbsp;– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
</div>
<div>
 
</div>
<div>
 Benefits Highlights 
 <ul>
 <li>Medical:&nbsp;Multiple plan options.</li>
 <li>Dental:&nbsp;Delta Dental or reimbursement account for flexible coverage.</li>
 <li>Vision:&nbsp;Affordable plan with national network.</li>
 <li>Pre-Tax Savings:&nbsp;HSA and FSAs for eligible expenses.</li>
 <li>Retirement: Competitive retirement package to secure your future.</li>
 </ul>
</div></div>

Sr. AI/ML Engineer - Shared Services Automation-Remote

AI/ML Engineer

Master's or Bachelor's with years; AI/ML in healthcare; leadership; cloud; data handling; Python; mentoring.

The AI/ML Engineer is a hands-on builder of AI-enabled and agentic solutions for Finance Shared Services. This role develops, deploys, and supports ML models, LLM-based components, and agentic automations that extend the program beyond traditional RPA. The engineer works closely with the Solution Architect, Senior AI/ML Engineer, and delivery team to bring AI capabilities into production with the reliability and governance expected of enterprise Finance systems.
Key Responsibilities:
<ul>
 <li>Develop and deploy ML models, LLM-enabled components, and agentic automations supporting Finance Shared Services use cases.</li>
 <li>Integrate AI components with UiPath automations using Maestro, AI Center, Document Understanding, and Communications Mining where appropriate.</li>
 <li>Partner with Solution Architects and the Senior AI/ML Engineer on architecture alignment, reuse, and standards.</li>
 <li>Own responsible model lifecycle practices: evaluation, monitoring, drift detection, and retraining.</li>
 <li>Contribute to engineering practice: code review, source control, CI/CD, and testing.</li>
 <li>Support production solutions, triage incidents, and deliver root-cause fixes.</li>
 <li>Stay current on emerging AI capabilities and surface candidate applications for Finance.</li>
</ul><h3>Qualifications</h3><div>A master’s degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience,&nbsp;
OR&nbsp;
A bachelor’s degree with 3 years of experience.&nbsp;
 
 • &nbsp; Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. 
 • &nbsp; Skill in cloud infrastructure environment and software development tools. 
 • &nbsp; Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.&nbsp; 
 • &nbsp; Skill in AI/ML techniques and frameworks. 
 • &nbsp; History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. 
 • &nbsp; Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. 
 • &nbsp; Strong interpersonal, communication, and time management skills. Preferred Qualifications:
<ul>
 <li>3+ years of hands-on AI/ML engineering experience, including production deployments.</li>
 <li>Strong proficiency in Python and modern ML/AI libraries.</li>
 <li>Experience with LLM-based solutions (prompting, RAG, tool use, evaluation).</li>
 <li>Working experience with UiPath or comparable automation platforms.</li>
 <li>Experience with Azure, GCP or another major cloud platform for AI workloads.</li>
 <li>Experience with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and UiPath Maestro.</li>
 <li>Experience in healthcare, Finance, or other regulated environments.</li>
 <li>Azure AI Engineer, AWS ML Specialty, or comparable certifications.</li>
</ul>
&nbsp;
*This position is a 100% remote work. Individual may live anywhere in the US. **This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.</div><h3>About Company</h3><div><div>
 Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.&nbsp;<a href="https://jobs.mayoclinic.org/alllocations" target="_blank" rel="nofollow">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a>&nbsp;
</div>
<div>
 
 <div>
 Equal Opportunity
 </div>
 <div>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">"EOE is the Law"</a>.&nbsp; Mayo Clinic participates in&nbsp;<a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank">E-Verify</a>&nbsp;and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
 </div>
</div></div><h2>Company</h2><div><div>
 Why Mayo Clinic
</div>
<div>
 Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and&nbsp;<a href="https://jobs.mayoclinic.org/benefits/" target="_blank" rel="nofollow">comprehensive benefit plans</a>&nbsp;– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
</div>
<div>
 
</div>
<div>
 Benefits Highlights 
 <ul>
 <li>Medical:&nbsp;Multiple plan options.</li>
 <li>Dental:&nbsp;Delta Dental or reimbursement account for flexible coverage.</li>
 <li>Vision:&nbsp;Affordable plan with national network.</li>
 <li>Pre-Tax Savings:&nbsp;HSA and FSAs for eligible expenses.</li>
 <li>Retirement: Competitive retirement package to secure your future.</li>
 </ul>
</div></div>

AI/ML Engineer - Shared Services Automation-Remote

Master's in engineering or related field with 1 year experience or Bachelor's with 3 years; AI/ML in production, cloud, healthcare data; Python, cloud platforms, UiPath, LangChain/LangGraph; healthcare or regulated environments experience.

STAFF DATA ENGINEER/DATA ENGINEER – IT (Sales &amp; Marketing) - HORMEL FOODS (AUSTIN, MN, WILLMAR, MN, EDEN PRAIRIE, MN)To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.Hormel Foods Corporation&nbsp;ABOUT HORMEL FOODS — Inspired People. Inspired Food.™Hormel Foods Corporation, based in Austin, Minn., is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include&nbsp;SKIPPY®,&nbsp;SPAM®,&nbsp;Hormel®&nbsp;Natural Choice®, Applegate®, Wholly®, Hormel®&nbsp;Black Label®, Columbus®&nbsp;and more than 30 other beloved brands. The company is a member of the S&amp;P 500 Index and the S&amp;P 500 Dividend Aristocrats, was named on the&nbsp;“Global 2000 World’s Best Employers”&nbsp;list by&nbsp;Forbes&nbsp;magazine for three straight years, is one of&nbsp;Fortune&nbsp;magazine’s most admired companies, has appeared on Corporate Responsibility Magazine’s “The 100 Best Corporate Citizens” list for the 12th&nbsp;year&nbsp;in a row, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement —&nbsp;Inspired People. Inspired Food.™&nbsp;— to bring some of the world’s most trusted and iconic brands to tables across the globe. For more information, visit&nbsp;<a href="http://www.hormelfoods.com" target="_blank">www.hormelfoods.com</a>&nbsp;and&nbsp;<a href="http://csr.hormelfoods.com/" target="_blank">http://csr.hormelfoods.com/</a>.Summary:&nbsp;We are looking for a Staff Data Engineer within the Sales and Marketing domain as part of our Data and Analytics team.&nbsp; This is an exciting opportunity to help grow and modernize analytics at Hormel Foods!&nbsp; The ideal candidate will have strong communication skills and the ability to collaborate across multiple levels of the organization. You will manage multiple initiatives that require creative problem-solving.&nbsp;You will use tools such as Google Cloud Platform, SQL, Python, Incorta, Oracle Business Intelligence, and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics.&nbsp;Additionally, you will engineer reports, dashboards and visualizations using enterprise business intelligence tools (Oracle, Power BI and Tableau).Specific competencies include:<ul style="list-style-type: disc; padding-left: 0px;"><li>Data Structures and Models -&nbsp;Develops the overall database/data warehouse structure based on functional and technical requirements. Develops data collection frameworks for mainly structured and sometimes unstructured data.&nbsp;</li><li>Data Pipelines and ELT&nbsp;-&nbsp;Applies data extraction, loading and transformation techniques in order to connect medium to large data sets from a variety of sources.</li><li>Data Performance -&nbsp;With minimal guidance, troubleshoots and fixes for data performance issues that come with querying and combining medium to large volumes of data. Tests for scenarios affecting performance during initial development.</li><li>Visualizations and Dashboards -&nbsp;Designs and develops reports and dashboards that meet business needs. Leverages visualizations when possible to increase speed to identifying an insight.</li></ul>Responsibilities:<ul style="list-style-type: disc;"><li>Collaborate with Sales &amp; Marketing team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.</li><li>Develop the overall database/data warehouse structure based on functional and technical requirements.</li><li>Engineer physical and logical data models for dimensions and facts within the staging, warehouse, and semantic layers of enterprise data warehouses and platforms.</li><li>Performance tune SQL, Python, Incorta, or Informatica ETL pipelines, as well as Google BigQuery Dataprocs to move data from various source systems and file types into dimensional data models.</li><li>Utilize SQL within Google BigQuery, Informatica ETLs, Incorta pipelines, or Oracle SQL Views to achieve proper metric calculations or derive dimension attributes.</li><li>Engineer schedule and orchestration for batch and mini-batch data loads into enterprise data warehouses and platforms.</li><li>Provide issue resolution and maintenance for various business unit solutions existing in enterprise data warehouses and platforms.</li><li>Use tools such as SQL, Oracle Business Intelligence, Power BI, Tableau, Google Cloud Platform, Python, Incorta, and Informatica ETL to engineer data pipelines and models to enhance enterprise reporting and analytics.</li><li>Engineer dashboards within enterprise business intelligence platforms containing reports and visualizations with intelligent user interface design and flow for the business, ensuring adequate performance.</li></ul>&nbsp;Required Qualifications:<ul style="list-style-type: disc;"><li>Bachelor's degree in Computer Science, MIS, or related area with experience in business intelligence, data engineering, and data modeling.</li><li>4+ years of experience with reading and writing SQL.</li><li>3+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.</li><li>3+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.</li><li>3+ years of experience with data enablement for a Point of Sale or Syndicated Consumption platforms. Preferably, Circana.&nbsp;</li><li>Ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.</li><li>Excellent written and verbal communication skills.</li><li>Excellent organizational and time management skills.</li><li>Tested problem-solving and decision-making skills.</li><li>Strong pattern of initiative.</li><li>Strong interpersonal skills.</li><li>Applicants must not now, or at any time in the future, require employer sponsorship for a work visa.</li><li>Applicants must be authorized to work in the United States for any employer.&nbsp;</li></ul>&nbsp;Preferred Qualifications:<ul style="list-style-type: disc;"><li>Advanced SQL reading and writing skills.</li><li>Experience developing data pipelines and queries within Google Cloud Platform (Google BigQuery) and/or Oracle Databases.</li><li>Experience engineering within a data warehouse or related experience with dimensional data modeling.</li><li>Experience tuning SQL and ETLs.</li><li>Proven ability to gather detailed technical requirements to design and develop business intelligence report solutions from beginning to end.</li><li>Experience with Sales/Marketing/Consumption data.</li><li>Experience with syndicated consumption providers or retailer-focused Point of Sale platforms.</li><li>Experience working within Google Cloud Platform with services like Dataflow, Datafusion, Pub/Sub, Cloud SQL, Cloud Storage.</li><li>Experience with Oracle SQL including advanced functions like analytical functions.</li><li>Experience tuning complex SQL and ETLs.</li><li>Experience within a core metadata model (RPD) including the physical, logical, and presentation layers for the enterprise business intelligence platform (OBIEE – Oracle Business Intelligence Enterprise Edition).</li></ul>&nbsp;LOCATION:&nbsp;Austin, MN – Global Headquarters (Preferred). Secondary locations: Willmar, MN and Eden Prairie, MN&nbsp;TRAVEL REQUIREMENTS:&nbsp;Travel may be necessary 10% of the time.<div><div><div>BENEFITS: Hormel Foods offers an excellent benefits package. Competitive base salary plus target incentive, discretionary annual merit increase, annual performance review, medical, dental, vision, non-contributory pension, 401(k) immediate eligible, stock purchase plan, relocation assistance, paid personal time (PTO), FREE two-year community/technical college tuition for children of employees, and more.At Hormel Foods, base pay is one part of our total compensation package and is determined within a range.&nbsp; The base hiring pay range for this role is between $86,500-$137,300 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location. &nbsp;At Hormel we invite difference and diversity in all aspects.&nbsp; We offer a space of support, understanding, and community. &nbsp;We are committed to the journey!&nbsp; Learn more about our progress here:&nbsp;<a href="https://www.hormelfoods.com/about/diversity-and-inclusion/" target="_blank">https://www.hormelfoods.com/about/diversity-and-inclusion/</a>Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.</div></div></div>

Staff Data Engineer/Data Engineer - IT (Sales & Marketing) Hormel Foods (Austin, MN, Willmar, MN, Eden Prairie, MN)

Staff Data Engineer/Data Engineer

Bachelor's degree in Computer Science or related; 4+ years SQL; 3+ years data warehousing/ETL; 3+ years Python/ETL tooling; 3+ years data enablement for Point of Sale or syndicated data; strong communication and problem-solving skills; US work authorization; sponsorship not provided.

DATA ANALYST/ASSOCIATE DATA ENGINEER – IT (AUSTIN, MN/WILLMAR, MN/EDEN PRAIRIE, MN)&nbsp;&nbsp;HORMEL FOODS CORPORATIONTo save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.&nbsp;&nbsp;ABOUT HORMEL FOODS&nbsp;Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue across more than 80 countries worldwide. Its brands include Planters®,&nbsp;Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, Wholly®, Hormel® Black Label®, Columbus®,&nbsp;Jennie-O®&nbsp;and more than 30 other beloved brands. The company is a member of the S&amp;P 500 Index and the S&amp;P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News &amp; World Report, one of America’s most responsible companies by Newsweek, recognized by TIME magazine as one of the World’s Best Companies, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. For more information, visit <a href="http://www.hormelfoods.com/" target="_blank">www.hormelfoods.com</a>.&nbsp;&nbsp;SUMMARY:Individuals interested in this position will support a dedicated business domain: our Data Engineering team within the Data and Analytics Office, and will require strong initiative, communication, and interpersonal skills.&nbsp;Specific competencies include:<ul style="list-style-type: disc;"><li>Data Structures and Models&nbsp;- Performs enhancements to modeling techniques with direct supervision. Special analysis may be conducted using standard statistical and/or data visualization techniques.</li><li>Data Pipelines and ELT&nbsp;- Collates and analyzes data. Transforming database requirements into logical data models. Developing physical data models to define the database structure.</li><li>Data Performance&nbsp;- Collects and reports management data to support decisions on day-to-day operations and specific business performance issues.&nbsp; Compiles, sorts and organizes data in preparation for subsequent analysis. Helps to identify and resolve any data quality issues through allocated data cleaning and testing tasks.</li><li>Visualizations and Dashboards&nbsp;- Uses a limited range of BI and data analysis tools to provide visualizations and reports within a comparatively structured reporting framework.&nbsp; Collaborates with internal clients and other team members to understand business requirements and support the development of routine and ad-hoc reports and dashboards in line with these requirements.</li></ul>&nbsp;Level of position determined based on qualifications and experience.&nbsp;&nbsp;&nbsp;RESPONSIBILITIES:<ul style="list-style-type: disc;"><li>Collaborates with business and technical team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.</li><li>Translates functional requirements into data model and pipeline needs.</li><li>Provides issue resolution and maintenance of existing business unit solutions in the enterprise data warehouses.</li><li>Engineers data models for dimensions and facts within the staging and warehouse layers, ensuring grain, keys, and source-to-target mappings follow established patterns.</li><li>Supports development in the semantic/presentation layers used by enterprise BI tools.</li><li>Engineers and performance‑tunes basic data pipelines, moving data from various source systems and file types into dimensional models.</li><li>Utilizes SQL within Python, Informatica, Google BigQuery, and Oracle SQL Views to perform metric calculations or derive dimension attributes.</li><li>Develops scheduling and orchestration for batch full and incremental loads into enterprise data warehouse platforms, following established standards and patterns.</li><li>Develops components within the core metadata model—physical, logical, and presentation layers—used by enterprise BI platforms.</li><li>Engineers dashboards and visualizations that apply simple, intuitive UI designs and support core Supply Chain reporting needs.</li></ul>&nbsp;QUALIFICATIONS:Required:<ul style="list-style-type: disc;"><li style="line-height: 107%;">Bachelor’s degree in computer science, Data Analytics, MIS, or related field, and experience in&nbsp;business intelligence and data warehouse development.</li><li>2+ years of SQL experience (reading and writing SQL for analysis or transformation).</li><li>2+ years of experience working in a business intelligence/reporting tool such as Tableau, PowerBI, or OBIEE.</li><li>1+ year of experience developing ETLs or integrations using tools such as Python, Informatica, SSIS.</li><li>Proficient written and verbal communication skills.</li><li>Proficient organizational and time‑management skills.</li><li>Demonstrated problem‑solving ability.</li><li>Strong initiative and interpersonal skills.</li><li>Applicants must not now, or at any time in the future, require sponsorship for a work visa.</li><li>Applicants must be authorized to work in the United States for any employer.&nbsp;</li></ul>&nbsp;Preferred:<ul style="list-style-type: disc;"><li>Proficient SQL skills.</li><li>Experience with Supply Chain data and processes (ERP orders, inventory, WMS/TMS, procurement, manufacturing, logistics).</li><li>Experience developing data pipelines and queries within Google Cloud Platform (BigQuery) and/or Oracle databases.</li><li>Experience engineering within a data warehouse or hands‑on dimensional modeling experience.</li><li>Experience tuning SQL and ETLs.</li><li>Proven ability to gather detailed requirements and deliver BI/reporting solutions end‑to‑end.</li></ul>&nbsp;LOCATION:&nbsp;Austin, MN / Willmar, MN / Eden Prairie, MN&nbsp;A comprehensive relocation package to the above areas will be offered, if required.&nbsp;At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for the Data Analyst/Associate Data Engineer role is between&nbsp;$70,900 - $104,050 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.BENEFITS:&nbsp;Other components of Hormel Foods’ total compensation package includes comprehensive medical, dental and vision coverage,&nbsp;discretionary annual merit increases, bonuses and profit sharing, 401(k) with employer match, stock purchase plan, relocation assistance, paid time off, free two-year community/technical college tuition for children of employees, and more.&nbsp;TRAVEL REQUIREMENTS:&nbsp;10% of the time&nbsp;&nbsp;For immediate consideration, apply online at:&nbsp;<a href="http://www.hormelfoods.com/careers" target="_blank">www.hormelfoods.com/careers</a>&nbsp;At Hormel we invite difference and diversity in all aspects.&nbsp; We offer a space of support, understanding, and community. &nbsp;We are committed to the journey!&nbsp; Learn more about our progress here:&nbsp;<a href="https://www.hormelfoods.com/about/diversity-and-inclusion/" target="_blank">https://www.hormelfoods.com/about/diversity-and-inclusion/</a>&nbsp;Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Data Analyst/Associate Data Engineer - IT (Austin, MN/Willmar, MN/Eden Prairie, MN)

Data Analyst/Associate Data Engineer

Bachelor’s in computer science/Data Analytics/MIS; 2+ years SQL; 2+ years BI tools; 1+ year ETL (Python/Informatica/SSIS); strong communication; US work authorization; visa sponsorship not offered.

<div class="content-intro">Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.
How we support you:
<ul>
<li>Hybrid model – up to 50% work from home</li>
<li>Flexible schedules including ample flexibility in the summer months</li>
<li>Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)</li>
<li>Benefits: medical, dental, vision, HSA/FSA, life &amp; AD&amp;D insurance, short-term and long-term disability, wellness program &amp; EAP</li>
<li>Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off</li>
<li>Learning and development programs</li>
<li>Mentorship programs</li>
<li>Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)</li>
<li>Professional membership/certification reimbursement and more!</li>
</ul>
Casual/seasonal &amp; intern team members are not eligible for benefits except for state-mandated programs.
To learn more about Compeer Financial visit&nbsp;<a href="https://www.compeer.com/careers">www.compeer.com/careers</a>.&nbsp;</div>Where you will work: 
This position offers a hybrid work option (up to 50% remote) and is open to any Compeer office location in&nbsp;<a href="https://www.compeer.com/branch-locations" target="_blank">Illinois, Minnesota and Wisconsin</a>.
The contributions you will make:&nbsp;
This position is responsible for developing, optimizing, and maintaining credit decision strategies to support the organization's lending goals while mitigating risk. The incumbent leverages data analytics, predictive modeling, and industry insights to create robust credit strategies that ensure responsible lending practices, enhance client experience, and drive business growth. Leads the development and evolution of automated credit decisioning, including the application of machine learning and artificial intelligence.&nbsp;
A typical day:&nbsp;
Cross-Functional Delivery and Alignment • &nbsp; &nbsp;Collaborates across the organization to ensure credit decision strategies align with broader organizational objectives and client needs. • &nbsp; &nbsp;Facilitates communication across departments to ensure consistency and clarity in implementing automated lending strategies. • &nbsp; &nbsp;Communicates strategic vision, roadmap, and progress updates to senior leadership and executives, highlighting how credit decision strategies support business growth and innovation. • &nbsp; &nbsp;Develops presentations and reports that translate complex analytics and strategy outcomes into actionable insights for decision-makers. • &nbsp; &nbsp;Leads discussions with stakeholders about emerging trends in automated lending, machine learning, and artificial intelligence, advocating for forward-thinking approaches to credit decisioning. • &nbsp; &nbsp;Establishes feedback loops with stakeholders (e.g., underwriting teams, client service, sales) to gather insights on the performance and impact of credit decision strategies. • &nbsp; &nbsp;Evaluates and manages relationships with external vendors and partners (e.g., credit bureaus, alternative data providers, decisioning platform providers) to ensure smooth integration and optimization of third-party tools and data sources.
Credit Strategy Development • &nbsp; &nbsp;Develops and maintains a strategic roadmap for the evolution of automated credit decisioning processes, focusing on scalability, efficiency, and innovation. • &nbsp; &nbsp;Identifies opportunities to integrate machine learning models into credit decision strategies to improve predictive accuracy, automate processes, and reduce manual intervention. • &nbsp; &nbsp;Leverages artificial intelligence to explore advanced data patterns, enabling more personalized and dynamic credit strategies. • &nbsp; &nbsp;Continuously evaluates emerging technologies, industry trends, and competitive practices to ensure the organization remains up-to-date with automated lending innovation. • &nbsp; &nbsp;Works closely with analytics, credit, and business technology teams to design and implement AI-driven solutions that enhance decisioning capabilities. • &nbsp; &nbsp;Develops and test new credit decision prototypes, leveraging advanced analytics and machine learning algorithms. • &nbsp; &nbsp;Serves as a thought leader within the organization, advocating for data-driven, forward-thinking approaches to credit strategy development and automated lending processes.
Decision Engine Optimization • &nbsp; &nbsp;Translates credit decision strategies into actionable rules and logic within decision engines, ensuring alignment with business objectives, regulatory requirements, and risk appetite. • &nbsp; &nbsp;Designs and implements automated workflows within decision engines to reduce manual intervention and improve operational efficiency. • &nbsp; &nbsp;Collaborates with analytics team to incorporate machine learning models into the decision engine, enabling dynamic and adaptive decisioning based on real-time data inputs. • &nbsp; &nbsp;Continuously refines decisioning rules, scorecards, and thresholds to maximize predictive accuracy, minimize default rates, and enhance client approval processes. • &nbsp; &nbsp;Develops and implements monitoring frameworks to track decision engine performance, identify anomalies, and ensure consistent results across all credit products and segments. • &nbsp; &nbsp;Designs decision engine processes to be scalable and adaptable to new products or markets, ensuring long-term sustainability of automated lending operations. • &nbsp; &nbsp;Partners with business technology teams to optimize decision engine infrastructure, ensuring seamless integration with data pipelines, underwriting systems, and other platforms.
Continuous Improvement • &nbsp; &nbsp;Regularly evaluates the performance of existing credit decision strategies, identifying areas for optimization to improve accuracy, efficiency, and client satisfaction. • &nbsp; &nbsp;Incorporates lessons learned from past initiatives, portfolio trends, and market conditions to refine strategies and adapt to changing business needs. • &nbsp; &nbsp;Stays abreast of advancements in machine learning, artificial intelligence, and data analytics tools, proactively identifying opportunities to enhance credit decisioning processes. • &nbsp; &nbsp;Uses advanced data analytics and real-time insights to continuously improve credit decisioning strategies, such as refining scorecards, optimizing rules, and updating risk thresholds. • &nbsp; &nbsp;Future-proofs decisioning systems by designing adaptable strategies that can evolve with technological advancements and shifting client expectations. • &nbsp; &nbsp;Conducts regular post-implementation reviews of credit decision strategies and system updates to evaluate their success and identify improvement opportunities. • &nbsp; &nbsp;Researches and incorporates alternative data sources (e.g., payment history, utility bills) to expand credit decisioning capabilities.
The skills and experience we prefer you have:&nbsp;
• &nbsp; &nbsp;Bachelor’s degree in business, computer science, information systems, mathematics, statistics, economics or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Master’s&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;degree, preferred. • &nbsp; &nbsp;Minimum 12 years of experience in credit risk management or credit decision modeling or advanced decision analytics. • &nbsp; &nbsp;Minimum 5 years of specialized experience managing credit decisioning engine platforms.
• &nbsp; &nbsp;Expert expertise in credit risk management and automated lending decision frameworks. • &nbsp; &nbsp;Expert expertise in credit decision engine platforms (FICO preferred), including rule development, workflow design, and system optimization. • &nbsp; &nbsp;Proven ability to design and implement end-to-end credit decisioning strategies, including integration of predictive models into production environments. • &nbsp; &nbsp;Strong understanding of model governance, validation, and regulatory considerations (e.g., fair lending, explainability). • &nbsp; &nbsp;Experience leveraging diverse data sources, including credit bureau and alternative data, within enterprise data ecosystems. • &nbsp; &nbsp;Demonstrated ability to monitor, evaluate, and continuously optimize credit strategies using data-driven insights and testing methodologies. • &nbsp; &nbsp;Strong business acumen with the ability to balance risk, growth, and client experience objectives. • &nbsp; &nbsp;Demonstrated ability to influence cross-functional stakeholders and communicate complex analytical concepts to both technical and non-technical audiences. • &nbsp; &nbsp;Experience with analytical tools (e.g., Python, SQL) preferred.
How we will take care of you:
Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.
&nbsp;<div class="content-pay-transparency"><div class="pay-input"><div class="title">Base Pay</div><div class="pay-range">$118,500&mdash;$180,000 USD</div></div></div><div class="content-conclusion">Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.
<a href="https://compeermedia.blob.core.windows.net/storage/compeer/media/sharedmedia/hr/1federalposter.pdf" target="_blank">Click here to view federal employment laws applicable for applicants.</a></div>

Prin Credit Decisioning Strategist

Credit Decisioning Strategist

12+ years in credit risk/decision analytics; 5+ years managing credit decisioning engines; expert in automated lending and machine learning integration.

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