Senior Data Engineer - TS/SCI Clearance, On-Site at SOCOM

General Dynamics Information Technology (GDIT); Tampa (FL); Presencial; USD 145.000 - 197.000; Jornada completa

Descripción de la vacante

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), seeks a Senior Data Engineer to lead the backend data engineering team for the IDST supporting SOCOM HQ at MacDill AFB, Florida.

You will design and maintain scalable data pipelines, containers with Docker, and cloud infrastructure across AWS, with expertise in Airflow, Postgres, Elasticsearch, Python, and CI/CD practices.

Formación

• Bachelor’s degree in a technical field (Data Engineering, CS, IS) or related.
• 10+ years of relevant work experience, security clearance preferred.
• Strong experience with Python, SQL, and data warehousing concepts.
• Experience building and maintaining ETL/ELT pipelines and data platforms.

Responsabilidades

• Design, implement, and maintain scalable SQL databases.
• Translate client requirements into data solutions using Python, Java, Kafka, Hive, R, or Storm.
• Oversee cloud-based database platforms and ensure data security controls.
• Develop ETL/ELT pipelines to support analytics.
• Integrate and validate data from structured and unstructured sources.
• Create API endpoints using Flask or FastAPI for diverse data sources.
• Lead data engineering projects and mentor junior staff.

Conocimientos

API Integration

Data Engineering

Data ETL

Git

People Management

Educación

Bachelor’s degree in Data Engineering

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Systems

Herramientas

Docker

Kubernetes

Helm charts

Postgres

Elasticsearch

GitLab

Python

Spark

Airflow

Flask/FastAPI

Descripción del empleo

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), seeks a Senior Data Engineer to lead the backend data engineering team for the IDST supporting SOCOM HQ at MacDill AFB, Florida.

You will design and maintain scalable data pipelines, containers with Docker, and cloud infrastructure across AWS, with expertise in Airflow, Postgres, Elasticsearch, Python, and CI/CD practices.