Secure Data Engineer - ETL, Spark & Foundry (Honolulu)

Agile Defense, LLC; Waipahu (HI); Sur place; USD 135 000 - 165 000; Plein temps

Résumé du poste

Agile Defense, LLC is seeking a Data Engineer in Honolulu, HI, to support secure data pipelines and analytics data sets. You will collaborate with data scientists, engineers, and mission stakeholders to process data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms.

The role requires 3+ years of data engineering experience, a technical degree, and an active US government security clearance. Onsite in a SCIF is required with a competitive salary range.

Qualifications

• Bachelor's degree in a technical field.
• 3+ years of data engineering, software development, data analytics, or enterprise-platform experience.
• Experience with Python and SQL; familiar with data validation, modeling and quality practices; know 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.

Responsabilités

• Supports the development and maintenance of secure data pipelines and ETL/ELT workflows.
• 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.

Connaissances

Python

SQL

Collaboration with stakeholders

Agile development

Active US government security access

Formation

Bachelor's degree in a technical field

Outils

Databricks

Spark

PySpark

Palantir Foundry

Maven Smart Systems

War Data Platform

Docker

CI/CD

MLflow

APIs

Terraform

AWS

Azure

Description du poste

Agile Defense, LLC is seeking a Data Engineer in Honolulu, HI, to support secure data pipelines and analytics data sets. You will collaborate with data scientists, engineers, and mission stakeholders to process data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms.

The role requires 3+ years of data engineering experience, a technical degree, and an active US government security clearance. Onsite in a SCIF is required with a competitive salary range.