Applied Information SciencesHiring

Senior Data Engineer (Analytics)

  • Washington, DC
  • Senior
  • Posted 5 days ago
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In one line

Senior analytics engineering role on a federal law enforcement program, building reports, dashboards and queries for stakeholders; contingent on contract award.

About the role

Reports, dashboards and analytics products that answer emerging stakeholder needs sit at the center of this work. The role calls for strong relational database skills and the ability to turn client requests into technical solutions under tight deadlines.

At a glance

Pay
Not stated in the posting
Location
Washington, DC
Seniority
Senior
Skills
SQL, Data modeling, ETL, ELT, Spark
Posted
30 Oct 2026
Last checked
4 Nov 2026

What you will do

  • Gather requirements, collect data, and design and build reports for stakeholder needs
  • Write scalable, high-performance queries and analytics tools
  • Pull together data from disparate sources and integrate it
  • Produce dashboards and other analytics products for mission and business needs
  • Work with clients and cross-functional teams to turn requirements into solutions

What they look for

  • Advanced SQL and data modeling skills, with ETL/ELT and big data tools such as Spark
  • Experience with ML or predictive solutions and scalable pipeline management
  • Record of leading cross-functional work and mentoring other engineers
  • Strong communication with senior leaders and multi-stakeholder feedback
  • Consulting experience with client interaction and strategic advice

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Questions about this job

Where is this job based?

The posting lists Senior Data Engineer (Analytics) as a role based in Washington, DC, United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: advanced SQL and data modeling skills, with ETL/ELT and big data tools such as Spark; experience with ML or predictive solutions and scalable pipeline management; record of leading cross-functional work and mentoring other engineers. Skills it names include SQL, Data modeling, ETL, ELT.

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Applied Information SciencesWashington, DC
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