Explore 3 python data engineer jobs from 2 hiring companies in French Lick, IN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer

Jasper

Bedford

Paoli

Bloomington

Washington

New Albany

Seymour

Pleasure Ridge Park

Clarksville

Shively

Vincennes

Mitchell

West Baden Springs

Huntingburg

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Tell City

Orleans

Python Data Engineer Jobs

Booz Allen Hamilton

Celanese

Hybrid

Onsite

University, Data Engineering InternThe Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.  As Data Engineering Intern at Booz Allen, you’ll assist in the creation of a secure, scalable enterprise data lake through the full data lifecycle, from data discovery and ingestion through analytics and visualization. Here, you’ll learn from a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll grow your skills in analytical exploration and data examination while you support the assessment, design, building, and maintenance of scalable platforms for your clients. How You&#39;ll Contribute:<ul><li>Assist in the design, development, and implementation of an enterprise data lake that serves as a single, authoritative source of truth for a government command.</li><li>Support data engineering efforts to aggregate, catalog, and secure multiple data sets, enabling advanced analytics and data-driven decision-making.</li><li>Support the identification and integration of authoritative data sources and assist in engineering Extract, Transform, Load (ETL) pipelines to ingest data into the enterprise data lake.</li><li>Leverage Python, Apache Spark, AWS Glue, and Amazon S3 to process, transform, and store structured and semi-structured data.</li><li>Assist in building and configuring data pipelines and validating data quality, integrity, and accessibility.</li><li>Contribute to the development of metadata, cataloging, and documentation to enhance data discovery and usability.</li><li>Support the use of AWS Athena for querying data and AWS QuickSight to develop visualizations that demonstrate insights, use cases, and process improvements.</li><li>Document ETL processes, data sources, and visualization artifacts.</li><li>Prepare and deliver a final presentation and prototype demonstration showcasing the enterprise data lake, pipelines, and visualizations within the Booz Allen development environment.</li><li>Ensure all work complies with internal standards, security requirements, and government client expectations.</li></ul>Work with us to use data for good. Join us. The world can&#39;t wait.You Have:   <ul><li>Experience using Python for data manipulation and analysis</li><li>Experience with big data or cloud-based data processing tools, such as Apache Spark or AWS services</li><li>Knowledge of ETL processes and data ingestion pipelines</li><li>Ability to work within a secure development environment and follow data handling guidelines</li><li>Ability to obtain a Secret clearance</li><li>Scheduled to obtain a Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or Analytics by Spring 2027</li></ul>Nice If You Have:   <ul><li>Experience working with AWS services, such as Glue, S3, Athena, or QuickSight</li><li>Experience creating or supporting enterprise data lakes or centralized data repositories</li><li>Experience developing data visualizations to support decision-making</li><li>Experience with Microsoft Excel for data organization and analysis</li><li>Ability to document technical processes and communicate results through presentations</li><li>Ability to collaborate effectively with peers, mentors, and cross-functional teams</li><li>Ability to pay strict attention to detail</li><li>Ability to be articulate, organized, and professional when engaging with technical and non-technical stakeholders</li><li>Possession of strong problem-solving skills</li></ul>Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.  CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $48,000.00 to $98,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.</li><li>If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.</li></ul>Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

University, Data Engineering Intern

Data Engineering Intern

Pursuing a Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or Analytics; experience with Python; knowledge of big data/ETL; ability to obtain Secret clearance;Spring 2027 graduation expected.

University, Data Engineering InternThe Opportunity: 
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.  

As Data Engineering Intern at Booz Allen, you’ll assist in the creation of a secure and scalable enterprise data lake through the full data lifecycle, from data discovery and ingestion through analytics and visualization. Here, you’ll learn from a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You’ll grow your skills in analytical exploration and data examination while you support the assessment, design, building, and maintenance of scalable platforms for your clients. 

How You'll Contribute:
Assist in the design, development, and implementation of an enterprise data lake that serves as a single and authoritative source of truth for a government command.

Support data engineering efforts to aggregate, catalog, and secure multiple data sets, enabling advanced analytics and data-driven decision-making.

Support the identification and integration of authoritative data sources and assist in engineering Extract, Transform, Load (ETL) pipelines to ingest data into the enterprise data lake.

Leverage Python, Apache Spark, AWS Glue, and Amazon S3 to process, transform, and store structured and semi-structured data.

Assist in building and configuring data pipelines and validating data quality, integrity, and accessibility.

Contribute to the development of metadata, cataloging, and documentation to enhance data discovery and usability.

Support the use of AWS Athena for querying data and AWS QuickSight to develop visualizations that demonstrate insights, use cases, and process improvements.

Document ETL processes, data sources, and visualization artifacts.

Prepare and deliver a final presentation and prototype demonstration showcasing the enterprise data lake, pipelines, and visualizations within the Booz Allen development environment.

Ensure all work complies with internal standards, security requirements, and government client expectations.

Work with us to use data for good.

Join us. The world can't wait.

You Have:   
Experience using Python for data manipulation and analysis

Experience with big data or cloud-based data processing tools, such as Apache Spark or AWS services

Knowledge of ETL processes and data ingestion pipelines

Ability to work within a secure development environment and follow data handling guidelines

Ability to obtain a Secret clearance

Scheduled to obtain a Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or Analytics by Spring 2027

Nice If You Have:   
Experience working with AWS services, such as Glue, S3, Athena, or QuickSight

Experience creating or supporting enterprise data lakes or centralized data repositories

Experience developing data visualizations to support decision-making

Experience with Microsoft Excel for data organization and analysis

Ability to document technical processes and communicate results through presentations

Ability to collaborate effectively with peers, mentors, and cross-functional teams

Ability to pay strict attention to detail

Ability to be articulate, organized, and professional when engaging with technical and non-technical stakeholders

Possession of strong problem-solving skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $48,000.00 to $98,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Experience with Python; experience with big data/cloud tools; knowledge of ETL and data pipelines; ability to obtain Secret clearance; expected Bachelor’s degree by Spring 2027.

Celanese Engineered Materials is seeking an Engineer, Digital Innovation &#8211; Predictive Modeling &amp; Advanced Experimentation role. This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in new product and material development.This role is an opportunity to play a key role in advancing predictive modeling and advanced experimental strategy to accelerate the design and development of next&#8209;generation materials. Applying rigorous quantitative methods to enable informed decision&#8209;making early in technology and product development.The role operates at the intersection of modeling, statistics, and machine learning, with a strong emphasis on translating these capabilities into practical approaches that support technology and innovation programs. This position also builds and deploys digital methods to guide experimentation, prediction, and optimization that support computer aided engineering and new product development efforts.**Location can be hybrid in one of the following locations:&#160;<ul><li>Wilmington, DE</li><li>Florence, KY</li><li>Auburn Hills, MI</li><li>Irving, TX</li></ul>Responsibilities Predictive Modeling for Material Property Design<ul><li>Develop and apply predictive and hybrid machine learning approaches for the prediction of properties key to designing the next generation of materials.</li><li>Integrate mechanistic understanding, statistical modeling, and data&#8209;driven methods to generate reliable, decision&#8209;ready predictions.</li><li>Quantify model confidence and limitations to support risk&#8209;aware technical decisions.</li><li>Translate complex modeling outputs into clear, actionable insights for technology and innovation stakeholders.</li></ul>Experimental Design &amp; Bayesian Optimization for New Product Development<ul><li>Design and apply advanced experimental design strategies and Bayesian optimization for new product development.</li><li>Efficiently explore high&#8209;dimensional design spaces to prioritize experiments and identify optimal candidates for laboratory evaluation.</li><li>Apply adaptive and sequential learning approaches to balance exploration and exploitation under limited data conditions.</li></ul>Qualifications&#160; <ul><li>Master's Degree or higher, or with equivalent experience in computer science, computer engineering, machine learning, physics, applied mathematics or related field&#8239;</li><li>Understanding of advanced materials, chemical processes, and laboratory data is a plus.</li><li>1+ years' work experience with modeling development, data analysis, business communication, and digital transformation is highly desirable.</li><li>Proficiency in AI + physics-based machine learning.</li><li>Working understanding of material science fundamentals</li><li>Strong foundation in applied statistics, experimental design, and probabilistic modeling.</li><li>Expertise in predictive modeling and simulation for material or system property prediction.</li><li>Experience with uncertainty quantification, model validation, and decision support under uncertainty.</li><li>Ability to translate advanced quantitative methods into practical workflows including proof-of-concept full-stack (backend + frontend) applications that inform technology and product decisions.</li><li>Working across the full lifecycle: problem formulation &#8594; model and strategy development &#8594; application and adoption.</li><li>Communicating complex modeling and experimental concepts clearly to diverse technical audiences.</li><li>Influencing technology and innovation decisions through quantitative, model&#8209;driven insight.</li><li>Operating effectively in cross&#8209;functional environments spanning product development, technology, innovation, and digital teams.</li></ul> &#160;

Digital Innovation Engineer

Master's degree or higher, or equivalent experience in CS/ML/physics/applied math; 1+ year modeling/data analysis; AI + physics ML; materials knowledge a plus; statistical modeling; experimental design; uncertainty quantification.

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