Data Engineer: ETL Pipelines & NLP (Secret/TS Ready)

General Dynamics Information Technology, Inc.; San Diego (CA); On-site; USD 84,000 - 114,000; Full time

Benefits offered by this job

401K with company match

Health and wellness packages

Internal mobility team

Paid education and certifications

Cutting-edge technology training

Paid vacation and holidays

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines using SQL Server, Databricks, and Apache Spark (PySpark).

You will integrate structured and unstructured data from government systems, build data models and dictionaries, and ensure governance and secure data handling per IL5, HIPAA, and Privacy Act policies. The role supports NLP/LLM use cases, collaborates with government staff and data scientists, and participates in

Qualifications

• Bachelor’s degree in a quantitative or computing discipline with coursework or professional application in programming, databases, and quantitative analysis.

Responsibilities

• Design, implement, and maintain scalable ETL/ELT pipelines on government-furnished tech stack for batch processing.
• Fuse disparate data sources into curated, analysis-ready datasets.
• Develop and maintain data models, dictionaries, metadata, and transformation logic under version control.
• Prepare and curate text and other unstructured data to support NLP/LLM use cases.

Skills

Analytics

Data Access

Data Analysis

Data Transformation

Enterprise Data

Education

Bachelor’s degree in a quantitative or computing discipline

Tools

SQL Server

Databricks

Apache Spark (PySpark)

Palantir Foundry

Power BI

Power Platform

Git

Python

Job description

General Dynamics Information Technology, Inc. is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines using SQL Server, Databricks, and Apache Spark (PySpark).

You will integrate structured and unstructured data from government systems, build data models and dictionaries, and ensure governance and secure data handling per IL5, HIPAA, and Privacy Act policies. The role supports NLP/LLM use cases, collaborates with government staff and data scientists, and participates in