Database Engineer/Python Developer

2113 The Mark Ctr Alexandria VA, United States

Full Time Clearance required USD 89K - 162K

Leidos

Leidos is an innovation company rapidly addressing the world's most vexing challenges in national security and health. Our 47,000 employees collaborate to create smarter technology solutions for customers in these critical markets.

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Database Engineer/Python Developer – Shape the Future of Defense Analytics

Are you looking for a career-defining challenge where your expertise in data engineering and Python development can make a real impact? At Leidos, we thrive on innovation, collaboration, and integrity—driving solutions that empower our customers and communities.

If you’re ready to unleash your potential, keep reading!

About the Role

The Leidos National Security Sector is seeking a Database Engineer/Python Developer to support the Analytic Support to Force Planning (ASFP) program at our Alexandria, VA location. This critical role contributes to the Office of the Secretary of Defense (OSD) Cost Assessment and Program Evaluation (CAPE) Joint Data Support (JDS)—working alongside DoD military planners, modeling and simulation analysts, and data acquisition specialists to transform complex data into actionable insights.

As a Database Engineer/Python Developer, you will play a pivotal role in strategic and operational planning, warfighting analysis, and military research—directly shaping decisions that influence budgets and future capabilities for DoD senior leadership.

Key Responsibilities

✔ Design, develop, and maintain a data library to support advanced analytics.

✔ Enable analysts to extract and process critical source data, creating tailored data products.

✔ Build scalable data storage infrastructure and streamline data transformation processes.

✔ Maintain relational database structures and metadata to optimize studies and analyses.

✔ Automate data extraction and transformation workflows to ensure repeatability.

✔ Provide technical support to analysts, enabling seamless data access and utilization.

✔ Perform data validation and verification, ensuring integrity for DoD-directed studies.

✔ Support data aggregation, modeling, and simulation tools for military planning efforts.

✔ Utilize AI/ML techniques to optimize forecasting, inventory management, and analytics.

✔ Collaborate across Joint Staff and DoD to ensure data alignment with mission objectives.

What You Need to Succeed

✅ Bachelor’s degree in Data Science, Mathematics, Statistics, or a related field (years of relevant experience may substitute for degree).

✅ 8+ years of experience in database architecture, design, and advanced analytics.

✅ Active DoD Top Secret Clearance (SCI eligibility required).

✅ Expertise in object-oriented programming, database management, and data transformations.

✅ Familiarity with DoD Modeling & Simulation applications.

✅ Strong problem-solving skills, with an ability to tackle complex DoD data challenges.

Preferred Qualifications

🔹 2+ years of leadership experience in DoD force sizing, shaping, and capability analysis.

🔹 Expertise in big data processing, forecasting, optimization, and supply chain analytics.

🔹 Advanced statistical modeling, predictive analytics, and AI-driven algorithms.

🔹 Proficiency in Git for version control and collaboration.

🔹 Understanding of DoD-compatible cloud platforms and war-gaming simulations.

At Leidos, your expertise is valued, your innovations matter, and your career has purpose. Join us today—where your contributions shape the future of defense and drive meaningful change. 🚀

EIO2024

Original Posting:

April 15, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $89,700.00 - $162,150.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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Category: Engineering Jobs

Tags: Architecture Big Data Engineering Git Machine Learning Mathematics OOP Python RDBMS Research Security Statistical modeling Statistics

Perks/benefits: Career development Equity / stock options

Region: North America
Country: United States

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