Data Engineer - Onsite (Secret Clearance)

Agile Defense

Town of Florida (NY)

On-site

USD 110,000 - 140,000

Full time

19 hours ago
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Job summary

Agile Defense is seeking a Data Engineer to design and maintain secure data pipelines and analytics-ready datasets supporting our government missions. The role collaborates with data scientists, engineers, and stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, and related platforms.

On-site work is required in SCIF environments, and candidates must be U.S. citizens with an active security clearance.

Qualifications

  • Bachelor's degree or equivalent in a technical field.
  • 3+ years of data engineering or related experience.
  • Proficiency in Python and SQL; experience 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

  • Supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets.
  • Works with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.

Skills

Python
SQL
Databricks
Spark
ETL/ELT
Data modeling
Data quality
Version control
Agile
Security clearance

Education

Bachelor's degree in computer science, data science, engineering, information systems, mathematics, or a related technical field

Tools

Palantir Foundry
Maven Smart Systems
War Data Platform
Databricks
Docker

Job description

Agile Defense is seeking a Data Engineer to design and maintain secure data pipelines and analytics-ready datasets supporting our government missions. The role collaborates with data scientists, engineers, and stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, and related platforms.

On-site work is required in SCIF environments, and candidates must be U.S. citizens with an active security clearance.

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