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Data Engineer-DataBricks

D&G Solutions

Posted today
Secret
Mid Level Career (5+ yrs experience)
Unspecified
IT - Data Science
Saint Louis, MO (On/Off-Site)

Data Engineer*
On-site | Scott Air Force Base, Illinois | Secret clearance with TS/SCI eligibility required


If you want to work on real operational problems, see your work contribute to mission success, and be part of a team that values respect and collaboration, we would love to talk.

Why This Role Exists

The work we do has real impact, and the people behind it matter just as much.

As a Data Engineer supporting USTRANSCOM’s Global Bulk Fuel mission, you will work on complex logistics and sustainment challenges that affect global force movement, fuel availability, and operational readiness across the Department of Defense. You will work on site, close to the mission and its stakeholders, using modern data platforms to engineer, analyze, and model data that supports real operational questions. Your work will directly inform senior leaders by enabling predictive analytics, data-driven insights, and operational visualization tools used to support mission-critical decisions.

This role is for someone who enjoys solving real problems with data, values context as much as code, and wants their work to be clearly connected to mission impact.

What You Will Do

• Engineer, analyze, and model data from the Joint Petroleum Enterprise to support global bulk fuel planning and execution
• Build and deploy analytical and predictive models to forecast demand, identify risk, and optimize logistics flows
• Develop dashboards, reports, and visualizations that enhance the Global Common Operating Picture
• Work with data platforms including Databricks Lakehouse and Palantir Ontology to prepare and analyze complex datasets
• Collaborate with USTRANSCOM stakeholders, working groups, and governance boards to translate data into actionable decisions
• Support ad hoc and mission-driven analytics tied to real operational questions rather than abstract KPIs

What We Are Looking For

Required:
• Five or more years of experience in data engineering, analytics, or related roles
• Strong proficiency in Python and SQL
• Experience building data pipelines and working with large, complex datasets
• Experience with cloud environments such as AWS, Azure, or GCP
• Hands-on experience with Databricks and Lakehouse architectures
• Ability to communicate technical insights clearly to non-technical stakeholders
• Willingness to work on site at Scott Air Force Base and travel within CONUS approximately ten percent

Nice to Have (Not Required):
• Experience with Palantir Ontology
• Background in logistics, supply chain, fuel, or sustainment analytics
• Experience supporting DoD, DLA, or USTRANSCOM
• Familiarity with machine learning frameworks, APIs, or Maven Smart Systems

Clearance and Eligibility

• Active DoD Secret clearance with eligibility for TS/SCI is required for this trusted, mission-facing role
• Restricted to U.S. persons as defined under 8 U.S.C. 1324b(a)(3)

Location

• On site at Scott Air Force Base, Illinois


Who We Are

At D&G Solutions, people come first; our teammates, customers, and the communities we serve.
We are one of the fastest growing companies in the Washington, DC area and proud to be recognized nationally as a Best Place to Work. As an 8(a), Service Disabled Veteran Owned, and Women Owned Small Business, we bring ownership, accountability, and care to everything we do. We also deeply believe in giving back and proudly support organizations such as Homes for Our Troops, SemperK9, and Wreaths Across America.

Our teams are known for being welcoming, collaborative, and deeply committed to mission success. We believe great work happens when people feel supported, respected, and trusted, and we work hard to create that environment every day.

What We Offer

Competitive salary | Benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | PTO

Final Note

If you want to work for a company that cares about its people, contribute to a mission that truly matters, and be part of a team where you are valued for who you are as well as what you do, we would love to hear from you.


*Internal Title will be Data Scientist
group id: 10367513
N
Name HiddenSenior Talent Acquisition Manager

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Job Category
IT - Data Science
Clearance Level
Secret