Data Engineer - Secure Pipelines, Secret Clearance Onsite

Agile Defense, Inc.; United States; Vor Ort; USD 110.000 - 170.000; Vollzeit

Zusammenfassung

Agile Defense, Inc. seeks a Data Engineer to develop and maintain secure data pipelines, ETL/ELT workflows, and analytics-ready datasets in a DoD-focused environment.

You will collaborate with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms. The role requires a Bachelor’s degree in a related technical field, 3+ years in data engineering or related work, strong

Qualifikationen

• Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or a related technical field.
• 3+ years of relevant data engineering, software development, data analytics, or enterprise-platform experience.
• Experience with Python and SQL familiarity with data validation, data modeling, and data-quality practices; familiarity with Spark, PySpark, Databricks, or comparable technologies
• 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

Aufgaben

• 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.

Kenntnisse

Python

SQL

Data validation

Data modeling

Data quality

ETL/ELT pipelines

Agile development

Version control

Testing

Documentation

Collaboration with stakeholders

Ausbildung

Bachelors in CS/DS/Eng

Tools

Databricks

Spark

Palantir Foundry

Jobbeschreibung

Agile Defense, Inc. seeks a Data Engineer to develop and maintain secure data pipelines, ETL/ELT workflows, and analytics-ready datasets in a DoD-focused environment.

You will collaborate with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms. The role requires a Bachelor’s degree in a related technical field, 3+ years in data engineering or related work, strong