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

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Python Data Engineer

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Python Data Engineer Jobs

Agile Defense

Procter & Gamble

Onsite

<div><span style="font-size: 16px">At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</span></div><div><br></div><div><span style="font-size: 16px">Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.</span></div><div><br></div><div>Requisition #: 1456 </div><div>Job Tittle: Data Engineer</div><div>Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL </div><div>Clearance: Active DoD Top Secret (or ability to obtain) </div><div>Citizenship: U.S. Citizenship required</div><div><br></div><div>Role Summary</div><div><br></div><div>Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.</div><div>You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.</div><div>This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.</div><div><br></div><div>Key Objectives</div><div><br></div><div>Objective 1: Design and Maintain Scalable Data Science Services</div><div>· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.</div><div>· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.</div><div>· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.</div><div>· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.</div><div><br></div><div>Objective 2: Build and Operationalize AI/ML Solutions</div><div>· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.</div><div>· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).</div><div>· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.</div><div>· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.</div><div><br></div><div>Objective 3: Perform Exploratory Data Analysis and Communicate Insights</div><div>· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.</div><div>· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.</div><div>· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.</div><div>· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.</div><div><br></div><div>Objective 4: Collaborate Across Teams to Deliver Mission Impact</div><div>· Engage with product managers and mission users to define data and model requirements aligned with operational goals.</div><div>· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.</div><div>· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.</div><div>· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.</div><div><br></div><div>Minimum Qualifications</div><div><br></div><div>· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience</div><div><br></div><div>Preferred Skills and Experience</div><div><br></div><div>· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.</div><div>· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).</div><div>· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).</div><div>· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).</div><div>· Strong understanding of data validation, model testing, and performance evaluation techniques.</div><div>· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.</div><div>· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.</div><br/><br/>Requisition #: 1456 
Job Tittle: Data Engineer
Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Württemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area), FL | Omaha (Offutt Air Force Base), NE | Scott Air Force Base, IL 
Clearance: Active DoD Top Secret (or ability to obtain) 
Citizenship: U.S. Citizenship required

Role Summary

Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.
You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.
This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Key Objectives

Objective 1: Design and Maintain Scalable Data Science Services
· Plan, develop, and maintain reusable services for data ingestion, transformation, and feature engineering that support AI/ML workflows.
· Implement core data science capabilities, such as entity resolution, classification, clustering, or prediction, within containerized environments that adhere to CI/CD, version control, and testing standards.
· Collaborate with DevSecOps engineers to integrate services into secure production environments using tools like Databricks, Docker, and Terraform.
· Ensure services meet performance, reliability, and security requirements consistent with DoD enterprise and cloud-native architecture.

Objective 2: Build and Operationalize AI/ML Solutions
· Develop and deploy standalone or embedded ML models for tasks such as decision support, automation, anomaly detection, and pattern recognition.
· Select and implement appropriate modeling techniques using Python, Spark, or cloud-native ML frameworks (e.g., SageMaker, MLflow).
· Maintain reproducibility and interpretability of model outputs to meet mission transparency and audit requirements.
· Package model inference services with well-documented APIs for integration into end-user applications and operational dashboards.

Objective 3: Perform Exploratory Data Analysis and Communicate Insights
· Conduct exploratory data analysis (EDA) to identify trends, gaps, and opportunities within structured and unstructured datasets.
· Develop data visualizations and interpretive summaries that support stakeholder understanding and product team decision-making.
· Translate analytical findings into actionable recommendations using a mix of visual, narrative, and quantitative communication strategies.
· Contribute to the team’s shared library of analysis templates, reusable queries, and analytic workflows to accelerate future delivery.

Objective 4: Collaborate Across Teams to Deliver Mission Impact
· Engage with product managers and mission users to define data and model requirements aligned with operational goals.
· Work closely with engineers to ensure data science components align with technical constraints and deployment patterns.
· Participate in agile sprint planning, retrospectives, and demos, sharing progress and adjusting priorities based on feedback.
· Maintain strong documentation practices that enable handoff, reproducibility, and technical accountability.

Minimum Qualifications

· A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience

Preferred Skills and Experience

· 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
· Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
· Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
· Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
· Strong understanding of data validation, model testing, and performance evaluation techniques.
· Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
· Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
<br/><br/><div><span style="font-size: 16px">Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.&nbsp;</span></div><div><br></div><div><span style="font-size: 16px">What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</span></div><div><br></div><div><span style="font-size: 16px">We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.</span></div><div><br></div><div><b style="font-size: 16px">Happy&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Infectious.</u></div><div><span style="font-size: 16px">Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</span></div><div><br></div><div><b style="font-size: 16px">Helpful</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Supportive.</u></div><div><span style="font-size: 16px">Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</span></div><div><br></div><div><b style="font-size: 16px">Honest</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Trustworthy.</u></div><div><span style="font-size: 16px">Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</span></div><div><br></div><div><b style="font-size: 16px">Humble</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Grounded.</u></div><div><span style="font-size: 16px">Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</span></div><div><br></div><div><b style="font-size: 16px">Hungry&nbsp;</b><span style="font-size: 16px">- </span><u style="font-size: 16px">Be Eager.</u></div><div><span style="font-size: 16px">Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</span></div><div><br></div><div><b style="font-size: 16px">Hustle</b><span style="font-size: 16px">&nbsp;- </span><u style="font-size: 16px">Be Driven.</u></div><div><span style="font-size: 16px">Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</span></div><div><br></div><div><b style="font-size: 16px">Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></div>

Data Engineer

3+ years in data science, data engineering, or related field; strong Python, SQL, Spark, and ML tooling; experience with cloud data platforms; ability to work in DoD environment.

<p style="text-align:left"><b>Job Location</b></p>CAPE GIRARDEAU FAM CARE PLANT<p style="text-align:inherit"></p><p style="text-align:left"><b>Job Description</b></p><p></p><p><b>The Opportunity</b>:</p><p>The <u>Senior Manufacturing Digital Engineer</u> role focuses on developing, implementing, and continuously improving digital solutions that strengthen safety, quality, reliability, and productivity across manufacturing operations at our <u>Cape Girardeau</u><b> </b>(Missouri) <u>Family Care Plant</u>. In this position, you will -</p><ul><li><p>Design and deploy new digital capabilities, standardize scalable approaches, and optimize existing tools and processes to deliver measurable business value.</p></li><li><p>Connect Engineering, Information Technology / Operational Technology (IT/OT), and Operations with plant and enterprise digital systems. This role identifies high-value data from PLCs, HMIs, and other OT sources, then designs, implements, and configures secure data pipelines to MDF, Edge-to-Cloud, AI Factory, and other higher-level platforms. These pipelines enable standard solutions and support the creation of value-adding digital use cases.</p></li><li><p>Report to the Site Digital Leader as a part of the Site Digital Organization and partner closely with the Site Data Asset Manager, Digital Platforms team resources, and site/department ICA (Intelligent Controls and Automation) resources. Success in this role requires a blend of IT and OT expertise, strong collaboration skills, and a continuous-improvement mindset in a fast-paced manufacturing environment.</p></li></ul><p></p><p><b>Position Responsibilities</b>:</p><ul><li><p>Demonstrate foundational knowledge of site ICA/OT and automation technologies (e.g., Rockwell, Siemens (as applicable), FactoryTalk and/or Aveva; engineering environments such as Studio, System Platform, etc.). This role may not require direct modifications to department control systems; however, it requires the ability to communicate using ICA/OT terminology and to clearly specify data needs and the components/programming required to access data (including potential new tags, routines, or interfaces).</p></li><li><p>Maintain day-to-day digital operations for site digital solutions and support adoption across Operations.</p></li><li><p>Support digital initiatives across the site to protect existing value and drive new value creation.</p></li><li><p>Maintain awareness of end-to-end systems and data flows to enable effective troubleshooting, problem-solving, and communication with cross-functional teams.</p></li><li><p>Collaborate with IT, ICA, and Operations teams (site and central) to resolve technical issues and improve system performance.</p></li><li><p>Provide customer-facing support with professionalism, strong service orientation, and the ability to remain effective in stressful situations.</p></li></ul><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Qualifications</b></p><p></p><p><b>Required</b>:</p><ul><li><p>Bachelor’s degree.</p></li><li><p>3–6 years of experience in data engineering, digital engineering, or a closely related role.</p></li><li><p>Ability and willingness to work onsite in a manufacturing environment with daily interaction with Operations, Engineering, IT/OT, and site leadership.</p></li><li><p>English proficiency with strong written and verbal communication skills.</p></li><li><p>Demonstrated ability to execute with excellence, set priorities, and develop effective work plans.</p></li><li><p>Willingness to provide guidance and coaching to ICA resources, site digital teams, and data customers / end users.</p></li><li><p>Competence with the Microsoft Office suite to support collaboration and communication.</p></li><li><p>Strong analytical skills with the ability to use complex data to identify opportunities, recognize problems, and draw logical conclusions.</p></li><li><p>Ability to produce and present technical information to both technical and non-technical audiences.</p></li><li><p>Ability to work independently and manage multiple priorities in a fast-paced, highly matrixed organization, with a strong customer focus on delivering reliable data pipelines.</p></li><li><p><b>Must be able to work onsite at our Cape Girardeau, MO plant 5 days per week.</b></p></li></ul><p></p><p><b>Preferred</b>:</p><ul><li><p>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.</p></li><li><p>Working knowledge of networking concepts, including OT 4.0, servers/virtualization, relevant databases, and process historians.</p></li><li><p>Proficiency with Python/PySpark and SQL/SparkSQL.</p></li></ul><p></p><p></p><p>Compensation for roles at P&amp;G varies depending on a wide array of equal opportunity factors including but not limited to the specific office location, role, degree/credentials, relevant skills, and level of experience. At P&amp;G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&amp;G include salary &#43; bonus (if applicable) &#43; benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.</p><p></p><p>Our company is committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</p><p></p><p><b>Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&amp;G along with other work authorization FAQ’s, please click </b><a href="https://faq.pgwebtools.com/us-work-authorization-faqs/" target="_blank">HERE</a><b>.</b></p><p></p><p>P&amp;G participates in e-verify as required by law.</p><p></p><p>Qualified individuals will not be disadvantaged based on being unemployed.</p><p>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Schedule</b></p>Full time<p style="text-align:inherit"></p><p style="text-align:left"><b>Job Number</b></p>R000149623<p style="text-align:inherit"></p><p style="text-align:left"><b>Job Segmentation</b></p>Experienced Professionals<p style="text-align:inherit"></p><p style="text-align:left"><b>Starting Pay / Salary Range</b></p>$110,000.00 - $165,300.00 / year

Senior Manufacturing Digital Engineer

Bachelor’s degree; 3–6 years data engineering or digital engineering; onsite manufacturing; strong communication; Python/PySpark and SQL knowledge preferred; able to manage multiple priorities.

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