Data Engineer - Power BI & Government Analytics (Secret)

Defense Acquisition Support Services LLC

Frederick (MD)

On-site

USD 90,000 - 130,000

Full time

19 hours ago
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Benefits offered by this job

Free Health Care
Dental Coverage
Vision Coverage
Paid Time Off
401K
Employer Paid Group Life
Flexible Spending Accounts
Professional Development Training

Job summary

Defense Acquisition Support Services is seeking a motivated Data Engineer to support analytics for government clients. You will develop BI solutions, build dashboards and reports, and deliver data-driven insights that advance mission success within a growing analytics portfolio.

This role requires an active Secret clearance and 2–4 years in BI or data analytics, with strong Power BI skills, data modeling, DAX, Power Query/Dataflows, and experience using Microsoft 365 apps.

Qualifications

  • Active Secret Security Clearance required.
  • 2-4 years of experience in BI or data analytics.
  • Advanced Power BI: data modeling (star schema, relationships, cardinality).
  • Dashboard and report development with DAX measures.
  • Power Query and Dataflows; Power Automate experience.
  • Proficiency with Microsoft 365 apps including SharePoint, Teams and Excel.

Responsibilities

  • Develop business intelligence solutions and impactful dashboards.
  • Deliver data-driven insights to government clients across analytics portfolios.
  • Manage client relationships and analytics projects.

Skills

Active Secret Security Clearance
BI/Data Analytics experience
Strong presentation skills
Communicating technical concepts toNon
Self-motivated

Tools

Power BI
Data modeling
DAX
Power Query
Power Automate
SharePoint
Teams
Excel

Job description

Defense Acquisition Support Services is seeking a motivated Data Engineer to support analytics for government clients. You will develop BI solutions, build dashboards and reports, and deliver data-driven insights that advance mission success within a growing analytics portfolio.

This role requires an active Secret clearance and 2–4 years in BI or data analytics, with strong Power BI skills, data modeling, DAX, Power Query/Dataflows, and experience using Microsoft 365 apps.

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