Data Engineer: Secure Pipelines & Analytics (Secret)

Agile Defense, LLC; Illinois; In loco; USD 135.000 - 165.000; Tempo pieno

Descrizione del lavoro

Agile Defense, LLC is seeking a Data Engineer to design, build, and maintain secure data pipelines supporting analytics for critical national missions. You will work with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms.

Candidates should have a BS in a technical field, 3+ years in data engineering, strong Python and SQL skills, and the ability to operate in a

Competenze

• Bachelor's degree in a technical field or equivalent combination of education and experience.
• 3+ years of data engineering, software development, or analytics experience.
• Strong Python and SQL with data validation, modeling, and quality practices; exposure to Spark or Databricks.
• Experience building ETL/ELT pipelines and data transformations.
• Understanding of version control, testing, documentation, and Agile development.
• Ability to collaborate with technical and nontechnical stakeholders.
• Active US government security clearance.

Mansioni

• Develop and maintain secure data pipelines and analytics-ready datasets.
• Collaborate with data scientists, engineers, and mission stakeholders.
• Process structured and unstructured data using modern platforms.
• Ensure data quality, validation, and governance across pipelines.

Conoscenze

Python

SQL

ETL

Data modeling

Agile

Collaboration

Formazione

Bachelor's degree in CS/DS/engineering or related field

Strumenti

Palantir Foundry

Maven Smart Systems

War Data Platform

Databricks

Spark

Docker

CI/CD

MLflow

APIs

Terraform

AWS

Azure

Descrizione del lavoro

Agile Defense, LLC is seeking a Data Engineer to design, build, and maintain secure data pipelines supporting analytics for critical national missions. You will work with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms.

Candidates should have a BS in a technical field, 3+ years in data engineering, strong Python and SQL skills, and the ability to operate in a