Data Engineer TS/SCI

About this role

In a world of possibilities, pursue one with endless opportunities. Imagine Next!   At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.   Job Description: Parsons is looking for a highly skilled Senior Data Engineer to join our Joint Staff Chief Digital and Artificial Intelligence Office (CDAO) team. In this role, you will architect and deliver scalable data solutions supporting Department of Defense mission objectives, enabling advanced analytics, AI, and operational decision support across Joint Staff Directorates. What You'll Be Doing: • Design, build, and optimize data pipelines and architectures to support AI-enabled use cases and operational analytics for Joint Staff missions • Integrate disparate data sources, ensuring data quality, reliability, and security in compliance with DoD standards • Collaborate with data scientists, product managers, and mission stakeholders to translate requirements into technical solutions • Implement and maintain ETL processes, data models, and data governance frameworks • Support deployment, monitoring, and sustainment of data platforms within secure DoD environments

What Required Skills You'll Bring: • Active TS/SCI security clearance • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field • Minimum 7 years of experience in data engineering, data architecture, or analytics roles • Proficiency in SQL, Python, or similar scripting languages for data manipulation and pipeline development • Experience with ETL processes, data modeling, and integrating complex data sources • Strong understanding of data security, governance, and compliance in federal/DoD environments

What Desired Skills You'll Bring: • Experience with Palantir Foundry or Maven Smart Systems (MSS) • Proficiency in Power Platform or Power Apps for data-driven applications and workflow automation • Familiarity with Qlik, Databricks, War Data Platform (WDP), or Advana • Experience supporting operational DoD analytics and AI/ML initiatives • Advanced degree or certifications in data engineering, cloud, or analytics platforms

Security Clearance Requirement: An active Top Secret SCI security clearance is required for this position.​

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $112,200.00 - $196,400.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to   https://www.parsons.com/fraudulent-recruitment/ .

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