Data Engineer

Company: JANUS Research Group

Location: Fort Bliss, TX (Remote)

Type: Full-time

Level: mid

Remote: Yes

Posted: 2026-02-27

About this role

Location:
Fort Bliss, TX (routine CONUS travel; OCONUS as mission dictates) or Remote (preference for Ft. Eustis, VA or Austin, TX)


Clearance:
Active Secret


About The Role
Join JANUS as a
Data Engineer
supporting Army modernization. You will design and operate secure, scalable data pipelines that integrate operational, simulation, and enterprise data into analysis-ready formats. Your work will enable
real-time dashboards, predictive analytics, and decision support products
used across Army event cycles and campaign planning.


Key Responsibilities

  • Build & Operate Pipelines: Design, implement, and optimize ETL/ELT pipelines using SQL, Python, and Azure services (Data & Storage, Databricks, Purview).
  • Integrate Data Sources: Ingest and standardize diverse Army datasets into relational databases with clear lineage, metadata, and quality controls.
  • Support Army Operations: Enable near-real-time data products that inform analytics, dashboards, and assessments supporting Army staff and decision-makers.
  • Cloud Engineering: Leverage Azure PaaS solutions to design scalable, secure data integration strategies aligned with AIMD’s enterprise architecture.
  • Governance & Security: Apply OPSEC, IA, and PII safeguards across workflows; ensure compliance with Army data governance practices.
  • Collaboration: Work with software development teams, stakeholders, and analysts to ensure data solutions meet mission requirements and PRS-driven timelines.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or related field. Equivalent experience may substitute.
  • Clearance: Active Secret clearance required.
  • Experience:
  • 3–5+ years in data engineering, ETL, or data wrangling.
  • Hands-on SQL and scripting/ETL (Python or similar).
  • Experience with Azure cloud services (Data & Storage, Analytics, Databricks, Purview) preferred.
  • Familiarity with DoD/Army datasets, event-driven ...

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