Hybrid Data Engineer for Mission-Critical Data Hub

General Dynamics - IT; Virginia; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Growth opportunities

Internal mobility team

401K with company match

Competitive pay

Paid time off

Award-winning culture

Job summary

General Dynamics - IT is seeking a Data Engineer to shape mission-critical government data initiatives at NCIS ITD in Quantico, VA. You will design and build scalable data pipelines, create a robust data hub, and enable analytics across IT and operations teams.

The role requires advanced data management skills, proficiency with Python/Java/Scala, and experience in data governance and cloud architectures. Hybrid work arrangement with onsite Quantico and remote days is offered.

Qualifications

• 10+ years or more of work experience in Data Management disciplines including data integration, modeling, optimization and data quality.
• Proficiency with Python, Java, and Scala for data engineering tasks.
• Experience with ML/AI data analytics is a plus.

Responsibilities

• Design, build, and manage scalable end-to-end data pipelines and data models.
• Develop and expand a data hub to collect, store, and process raw data for analytics and reporting.
• Collaborate with IT and business teams to integrate analytics into workflows and governance frameworks.
• Lead data governance, quality, storage, and usage standards across the enterprise.

Skills

Python

Java

Scala

Databricks

Snowflake

Kafka

Airflow

Spark

SQL

PL/SQL

ETL/ELT

Cloud AWS

Docker

Kubernetes

Data governance

Data security

DON Jupiter

Education

Bachelor's Degree in a technical discipline

Tools

Databricks

Snowflake

Apache Kafka

Airflow

Spark

ETL Tools

Docker

Kubernetes

AWS Elastic Container Service

Job description

General Dynamics - IT is seeking a Data Engineer to shape mission-critical government data initiatives at NCIS ITD in Quantico, VA. You will design and build scalable data pipelines, create a robust data hub, and enable analytics across IT and operations teams.

The role requires advanced data management skills, proficiency with Python/Java/Scala, and experience in data governance and cloud architectures. Hybrid work arrangement with onsite Quantico and remote days is offered.