Data Engineer - Secure Pipelines (Secret Clearance)

Agile Defense, Inc.

Fort Meade (MD)

On-site

USD 135,000 - 165,000

Full time

3 days ago
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Job summary

Agile Defense, Inc. is seeking a Data Engineer to support the development and maintenance of secure data pipelines and analytics-ready datasets at Fort Meade, MD.

The role collaborates with data scientists, engineers, and mission stakeholders to process data using Databricks, Spark, Palantir Foundry, and related platforms. The ideal candidate has 3+ years in data engineering or related fields, strong Python/SQL skills, and experience with ETL/ELT, data quality, and Agile practices.

Qualifications

  • Bachelor’s degree or equivalent in a technical field plus relevant experience.
  • 3+ years in data engineering, software development, analytics, or enterprise platforms.
  • Proficiency in Python and SQL with data validation, modeling, and quality practices; familiarity with Spark, PySpark, Databricks.
  • Experience supporting 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.

Responsibilities

  • Support development and maintenance of secure data pipelines and ETL/ELT workflows.
  • Collaborate with data scientists, engineers, and mission stakeholders to process structured and unstructured data.
  • Work with platforms like Databricks, Spark, Palantir Foundry and related tools to enable analytics-ready datasets.

Skills

Python
SQL
Data modeling
Data quality
Agile development
Version control
Collaboration

Education

Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or related field

Tools

Palantir Foundry
Maven Smart Systems
Spark
Databricks
PySpark
Docker
Terraform
AWS
Azure

Job description

Agile Defense, Inc. is seeking a Data Engineer to support the development and maintenance of secure data pipelines and analytics-ready datasets at Fort Meade, MD.

The role collaborates with data scientists, engineers, and mission stakeholders to process data using Databricks, Spark, Palantir Foundry, and related platforms. The ideal candidate has 3+ years in data engineering or related fields, strong Python/SQL skills, and experience with ETL/ELT, data quality, and Agile practices.

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