Data Engineer – ETL Pipelines for Gov Data (TS/SCI)

General Dynamics Information Technology (GDIT)

Joint Base Lewis-McChord (WA)

On-site

USD 92,000 - 125,000

Full time

14 days+

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Benefits offered by this job

401K with company match
Comprehensive health and wellness
Internal mobility team
Professional growth opportunities incl
Paid education and certifications
Paid vacation and holidays

Job summary

General Dynamics Information Technology in the United States seeks a Data Engineer to build scalable data pipelines, integrate diverse data sources, and ensure data quality for analytics. The role supports data scientists and collaborates with government teams on secure data handling.

Responsibilities include ETL/ELT design, data modeling, governance, and preparing data for NLP/LLM use cases, with emphasis on secure, compliant processing and collaboration across enterprise data platforms.

Qualifications

  • Demonstrated proficiency in SQL and in Python or a comparable language used for data engineering.
  • Minimum of three years of professional experience in data engineering, database development, or data pipeline development.
  • A degree or equivalent experience as described above.
  • Experience with ETL/ELT design, data modeling, data quality checks, and version control.
  • Ability to communicate clearly with analysts and non-technical stakeholders and to document technical work for continuity.

Responsibilities

  • Design, implement, and maintain scalable ETL/ELT pipelines on the government stack for batch processing.
  • Fuse structured, semi-structured, and unstructured data into curated datasets.
  • Implement data quality controls, lineage, and performance tuning for reliable pipelines.
  • Develop data models, dictionaries, metadata, and transformation logic under version control.
  • Prepare unstructured data for NLP and LLM use cases for the data science team.
  • Support integration of data products into visualization tools and MLOps practices when directed.

Skills

Analytics
Data Access
Data Analysis
Data Transformation
Enterprise Data

Education

Bachelor's degree in a quantitative or computing discipline

Tools

Palantir Foundry
Databricks
Apache Spark (PySpark)
Power BI
Power Apps
Power Automate

Job description

General Dynamics Information Technology in the United States seeks a Data Engineer to build scalable data pipelines, integrate diverse data sources, and ensure data quality for analytics. The role supports data scientists and collaborates with government teams on secure data handling.

Responsibilities include ETL/ELT design, data modeling, governance, and preparing data for NLP/LLM use cases, with emphasis on secure, compliant processing and collaboration across enterprise data platforms.

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