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# Data Engineer

- **Company:** Agile Defense
- **Location:** Halawa, HI, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $145,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Microsoft Azure, Cyber Security, Information Systems, Databases, Continuous Integration, Data Validation, Information Engineering, Data Files, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Python (Programming Language), Apache Maven, Software Engineering, SQL Databases, Unstructured Data, Palantir Foundry, Apache Spark, Pyspark, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-hi--5f5c5202-3a4c-463f-bee9-220b20f02b3d

## About the Role

Agile Programming Methodologies, Data Management, Data Science, Information/Data Security (InfoSec), Data Sets, Unstructured Data, Database Extract Transform and Load (ETL), Maven, Structured Data, Computer Science, Bachelors degree in computer science, data science, engineering, information systems, mathematics, or a related technical field. Equivalent combinations of education, technical certification, and relevant professional experience may be considered.

Years of Experience

3+ years of relevant data engineering, software development, data analytics, or enterprise-platform experience., Experience with Python and SQL; experience supporting ETL/ELT pipelines and data transformations; familiarity with data validation, data modeling, and data-quality practices; familiarity with Spark, PySpark, Databricks, or comparable technologies; understanding of version control, testing, documentation, and Agile development; ability to collaborate with technical and nontechnical stakeholders; active DoD clearance required., Experience with Palantir Foundry, Maven Smart Systems, or War Data Platform; familiarity with AWS or Azure; exposure to Docker, CI/CD, MLflow, APIs, or Terraform; experience supporting DoD or federal mission environments.

## Description

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.