Explore 4 python data engineer jobs from 3 hiring companies in Chester, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-data-engineer

Python Data Engineer

Perryville

Farmington

Carbondale

Jackson

Belleville

Cape Girardeau

Oakville

O'Fallon

Sainte Genevieve

Arnold

Festus

Fairview Heights

Mehlville

Swansea

Lemay

Waterloo

Herrin

Cahokia

Shiloh

Python Data Engineer Jobs

Agile Defense

GDIT

General Dynamics Information Technology

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.

<p style="text-align:left"><b><u>Type of Requisition:</u></b></p>Regular<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><b>Clearance Level Must Currently Possess:</b></u></p>Secret<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><span><span><span><span><span><b>Clearance Level Must Be Able to Obtain:</b></span></span></span></span></span></u></p>Secret<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><u>Public Trust/Other Required:</u></b></p>None<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><b>Job Family:</b></u></p>Data Science and Data Engineering<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><u>Job Qualifications:</u></b></p><p style="text-align:left"><b>Skills:</b></p>Business Intelligence Dashboards, Data Analytics, Data Science<p style="text-align:left"><b>Certifications:</b></p>None<p style="text-align:left"><b>Experience:</b></p>2 + years of related experience<p style="text-align:left"><b>US Citizenship Required:</b></p>Yes<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><b>Job Description:</b></u></p><p>In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors — from fraud detection to cancer research to national intelligence — they know, the answers are in the data.</p><p>In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors — from fraud detection to cancer research to national intelligence — they know, the answers are in the data.</p><p></p><p>The mid-level dashboard developer uses the power of their analytical skills to assist and improve the defense industry in numerous ways, working closely with customers to understand their questions and needs and dig into their data-rich environment to discover the missing pieces in the information puzzle. Applying specific functional and general industry knowledge, our dashboard developers discover answers to a variety of problems of moderate scope and complexity by developing algorithms, writing scripts, building predictive analytics, maximizing automation, applying machine learning and combining tools and frameworks to turn disparate data points into objective answers that help military leaders make informed decisions. The dashboard developer offers customers a deep understanding of their data, what it all means, and how they can use it, and acts as a trusted source who optimizes the potential of data science for good in the defense industry.  At the mid-level, this role works independently with some guidance and may review or guide activities of more junior employees.</p><p></p><p><b>What we’re looking for: </b></p><h2></h2><ul><li><h2><b><span>Solid experience in distributed computing frameworks</span></b><span> with hands-on expertise in <b>Databricks</b>, <b>SQL</b>, and <b>Spark</b>.</span></h2></li><li><h2><span>Proficient in designing and implementing <b>ETL pipelines</b> to transform and integrate data efficiently from diverse sources.</span></h2></li><li><h2><span>Expertise in <b>data visualization and business intelligence</b> using tools such as <b>Qlik</b>, <b>Tableau</b>, and <b>Power BI</b>, with the ability to create intuitive dashboards and clear, actionable insights.</span></h2></li><li><h2><span>Strong <b>analytical modeling experience</b>, including the development of forecasts, cost models, and trend analyses.</span></h2></li><li><h2><span>Advanced proficiency in programming languages like <b>Python</b>, with demonstrated experience in writing efficient, scalable scripts for data processing and analytics.</span></h2></li><li><h2><span>Ability to present insights effectively to senior leadership and collaborate with cross-functional teams to meet organizational objectives.</span></h2></li><li><h2><span>A curious, independent thinker who enjoys tackling challenging problems, offering creative solutions, and continuously seeking opportunities to innovate.</span></h2></li><li><h2><span>Excellent time management and organizational skills to manage competing priorities in a complex matrix environment effectively.</span></h2></li></ul><p></p><p><b>Basic Qualifications:</b></p><ul><li><p>2&#43; years of experience with data science or analytics</p></li><li><p>Experience with building robust analytical models, including forecasts, cost models, and historical trend analyses</p></li><li><p>Ability to navigate a complex matrix environment and manage competing priorities</p></li><li><p>Active Secret clearance</p></li><li><p>BA or BS degree</p></li></ul><p></p><p><b>Additional Qualifications:</b></p><ul><li><h2><span>Strong knowledge of data programming languages such as SQL and Python, with the ability to integrate structured and unstructured datasets into actionable formats.</span></h2></li><li><h2><span>Experience facilitating training for <b>BI tools</b> to empower teams with self-service analytics capabilities.</span></h2></li><li><h2><span>Understanding of <b>data management practices within the DoD environment</b>, leveraging SQL or SAS for database manipulation and integration workflows.</span></h2></li><li><h2><span>Outstanding communication skills to align stakeholder needs, articulate development plans, and track progress effectively.</span></h2></li><li><h2><span>Exceptional critical thinking and statistical analysis capabilities, with the ability to derive actionable conclusions from complex data patterns.</span></h2><p></p></li></ul><p><br /><b>GDIT is your place:</b></p><ul><li><p>401K with company match</p></li><li><p>Comprehensive health and wellness packages</p></li><li><p>Internal mobility team dedicated to helping you own your career</p></li><li><p>Professional growth opportunities including paid education and certifications</p></li><li><p>Cutting-edge technology you can learn from</p></li><li><p>Rest and recharge with paid vacation and holidays</p></li></ul><p></p><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The likely salary range for this position is $68,000 - $92,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><b>Scheduled Weekly Hours:</b></u></p>40<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><u>Travel Required:</u></b></p>Less than 10%<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><u><span><span>T</span>elecommuting Options:</span></u></b></p>Onsite<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><b>Work Location:</b></u></p>USA IL Scott AFB<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><u><b>Additional Work Locations:</b></u></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><u>Total Rewards at GDIT:</u></b></p>Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.<p style="text-align:inherit"></p><p style="text-align:inherit"></p>We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.<p style="text-align:inherit"></p><p style="text-align:inherit"></p>Join our Talent Community to stay up to date on our career opportunities and events at<p><a href="https://www.gdit.com/tc" target="_blank">gdit.com/tc</a>.</p><p></p><p></p><p></p>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Mid-Level Dashboard Developer

Dashboard Developer

2+ years of data analytics experience; BI dashboards; ETL; Python; US citizenship; Active Secret clearance.

Gdit

2+ years data analytics experience; 1+ year BI dashboards; Secret clearance; BA/BS; experience with SQL, Python, ETL, Databricks, Spark; US citizenship.

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Python Data Engineer Jobs in Chester, IL, US

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