Role overview

Senior Data Platform Engineer

Requirements and responsibilities

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Responsibilities

  • Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.
  • Extend the platform following the architecture, patterns, and standards set by the lead platform engineer.
  • Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment.
  • Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues.
  • Apply data governance, cataloging, and access-control practices within the established framework.
  • Support the data science and ML team by delivering the governed datasets and tooling they need.
  • Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.
  • Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes.

Required Qualifications

  • U.S. Citizenship required.
  • Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.
  • 4 years building and maintaining production data pipelines.
  • Strong proficiency in Python and SQL.
  • Hands-on ETL / data pipeline development and sound analytical data modeling.
  • Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows.
  • Solid analytical, troubleshooting, and communication skills.
  • 5 years work experience with BS/BA

Preferred Qualifications

  • Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake).
  • Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.
  • Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling.
  • Active security clearance (T5/SSBI or higher).
  • Government or defense contracting experience.
  • Familiarity with data governance / cataloging tooling (e.g., Unity
  • Catalog) and orchestration tools (Airflow, dbt).

Soft Skills

  • Dependable, self-directed execution with minimal oversight.
  • Strong collaboration across technical and non-technical teams.
  • Clear documentation and knowledge-sharing.
  • Eagerness to grow ownership and learn the compliance environment.
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FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, CI/CDPrimary skills
Location1 accepted countryEligibility

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