Explore 2 python data engineer jobs from 2 hiring companies in Axtell, NE, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-data-engineer

Python Data Engineer

Kearney

Holdrege

Hastings

Minden

Lexington

Gibbon

Elm Creek

Alma

Wood River

Shelton

Kenesaw

Ravenna

Franklin

Bertrand

Oxford

Juniata

Blue Hill

Arapahoe

Red Cloud

Python Data Engineer Jobs

Buckle

CorVel

Hybrid

Onsite

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
<ul>
<li>Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies</li>
<li>Creating new, experimental frameworks to collect data</li>
<li>Building tools to automate data collection</li>
<li>Develop custom data models and algorithms to apply to data sets</li>
<li>Design, build, train, and deploy machine learning models and data products for enterprise use</li>
<li>Translate business and operational needs into scalable data science solutions and modeling approaches</li>
<li>Perform feature engineering, data preparation, and exploratory analysis to support model development</li>
<li>Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)</li>
<li>Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems</li>
<li>Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate</li>
<li>Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services</li>
<li>Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms</li>
<li>Perform model validation, testing, and documentation to ensure quality and reproducibility</li>
<li>Contribute to technical design discussions and provide input on architecture and implementation strategies</li>
<li>Work within the full software development lifecycle (SDLC), including version control, testing, and release processes</li>
<li>Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders</li>
<li>Develop A/B testing framework and test model quality</li>
<li>Passion for technology and emerging AI/ML trends</li>
<li>Additional duties as assigned</li>
</ul>
 
KNOWLEDGE & SKILLS:
<ul>
<li>Strong problem-solving skills with an emphasis on product development.</li>
<li>Strong foundation in machine learning, statistical modeling, and data science techniques</li>
<li>Experience building and deploying machine learning models in production environments</li>
<li>Familiarity with modern AI approaches, including:
<ul>
<li>Natural language processing (NLP)</li>
<li>Large language models (LLMs)</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Feature engineering and model evaluation techniques</li>
</ul>
</li>
<li>Experience working with cloud platforms such as Azure, AWS, or similar ecosystems</li>
<li>Familiarity with data pipelines, APIs, and integration patterns</li>
<li>Proficiency in programming languages such as Python and database management including SQL</li>
<li>Strong problem-solving skills with the ability to structure complex problems into analytical solutions</li>
<li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications</li>
<li>Excellent presentation and written/verbal communication skills</li>
</ul>
 
EDUCATION & EXPERIENCE:
<ul>
<li>Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master’s preferred</li>
<li>2–5+ years of experience in data science, machine learning, or related roles</li>
<li>Experience developing and deploying machine learning models in production environments</li>
<li>Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar</li>
<li>Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred</li>
<li>Experience working within enterprise software environments and SDLC practices preferred</li>
</ul>
 
PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location.  Pay rates are established taking into account the following factors:  federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions.  Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role.  The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range:  $82,574 – $127,490
A list of our benefit offerings can be found on our CorVel website: <a href="https://www.corvel.com/company/careers/" target="_blank" rel="noopener">CorVel Careers | Opportunities in Risk Management</a>
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
 
<a href="https://www.corvel.com/" target="_blank" rel="noopener">About CorVel</a>
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries.   CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients.  We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities.  Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote

Data Scientist II

2–5+ years of data science experience; Bachelor's in CS/DS/Engineering/Math; production ML deployment; cloud platforms (Azure/AWS); Python and SQL; strong communication.

Summary
The BI Engineer utilizes industry standard data tools and methods for extracting, transforming and loading data into a central data platform.  This role provides expertise in data stewardship within the central data platform, across enterprise systems and data pipelines.
Essential Duties and Responsibilities This description intends to describe the general nature and level of work performed by Teammates assigned to this job. It is not intended to include all duties, responsibilities and qualifications. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Business Intelligence and Reporting
<ul>
<li>Create, automate and manage integrations with existing company and vendor data systems.</li>
<li>Create and document data for reporting and analytical use cases.</li>
<li>Work with a team to manage a collection of company data models.</li>
<li>Support teams of analysts and perform development iterations to existing pipelines and in the creation of new data sets.</li>
<li>Participate in analysis and engineering projects including data pipeline development, system integration, data mining, machine learning and AI applications.</li>
<li>Develop and maintain cloud-based enterprise scale infrastructure practices and data architectures</li>
</ul>
Collaboration and Communication
<ul>
<li>Work closely with cross-functional teams to understand data needs and provide appropriate solutions.</li>
<li>Communicate complex data findings in an easy-to-understand manner for non-technical stakeholders.</li>
<li>Ensure that all reports and dashboards meet business requirements and provide reliable insights.</li>
</ul>
Continuous Improvement and Optimization
<ul>
<li>Continuously improve BI solutions, optimizing for performance, speed, and scalability.</li>
<li>Stay current with industry best practices, BI trends, and emerging technologies.</li>
<li>Identify and implement improvements to streamline data reporting processes.</li>
</ul>
Supervisory Responsibilities 
This job has no supervisory responsibilities.
Education and/or Experience 
<ul>
<li>Bachelor’s Degree in Computer Science, Information Systems, Business Analytics or related field.</li>
<li>Experience working with structured query language, SQL is required.</li>
<li>Two to five years’ experience with the following is desirable; Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI.</li>
</ul>
General
<ul>
<li>Fulfill mission statement by performing job duties with a high level of customer service while contributing to a positive team spirit. </li>
<li>Special projects and other duties as assigned.</li>
</ul>
Physical Demands 
The physical demands described here are representative of those that must be met by a Teammate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this Job, the Teammate is regularly required to sit; use hands to finger, handle, or feel and talk or hear.  The Teammate is occasionally required to stand; walk; reach with hands and arms and stoop, kneel, crouch, or crawl. The Teammate must frequently lift and/or move up to 25 pounds.  Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.
Work Environment 
While performing the duties of this job, the Teammate regularly works in an office setting. The noise level in the work environment is usually moderate.
Equal Employment Opportunity Buckle is committed to hiring and developing the most qualified Teammates from the available workforce in the communities we serve.
Equal employment opportunity has been, and will continue to be, a fundamental principle at Buckle, where employment is based upon personal capabilities and qualifications without discrimination and retaliation because of veteran status, uniformed service member status, race, color, national origin or ancestry, creed, religion, sex, sexual orientation, gender identity or expression, age, pregnancy (including childbirth, lactation, and related medical conditions), national origin or ancestry, physical or mental disability, genetic information (including characteristics and testing), or any other protected characteristic as established by applicable local, state, or federal law. For state specific information, refer to the State Law Supplements found on the Teammate Center, under Human Resources.

Business Intelligence Engineer

Bachelor’s degree in CS/IS/Analytics; 2-5 years with SQL, Azure, MSSQL, Databricks, Python, C#, PowerBI; strong BI and data pipeline skills.

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Python Data Engineer Jobs in Axtell, NE, US

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