Data Engineer-Sr

Type of Requisition: Regular

Clearance Level Must Currently Possess: Top Secret/SCI

Clearance Level Must Be Able to Obtain: Top Secret/SCI

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Job Qualifications:

Skills: API Integration, Data Engineering, Data ETL, Git, People Management

Certifications: None

Experience: 10 + years of related experience

US Citizenship Required: Yes

Job Description:

YOUR IMPACT

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure.

OUR COMPANY

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.

JOB DESCRIPTION

The Data Engineer-Sr will lead the backend data engineering team on the Intelligence Data Science Team (IDST) supporting the J2 Intelligence Enterprise at SOCOM HQ located at MacDill AFB, Florida .

The Data Engineer-Sr position will lead a small team focused on managing data infrastructure through various advanced technologies and methodologies. Additionally, the Data Engineer is expected to handle containerization by deploying applications with Docker and demonstrate a proficiency with navigating AWS cloud environments.

Preferred candidates will have a strong background in Apache Airflow, familiarity with both Postgres and Elasticsearch, and advanced skills in Docker, Kubernetes, and Helm charts. Experience using GitLab, proficiency in software testing with Python, setting up CI/CD pipelines on GitHub or GitLab, and knowledge of AI/ML technologies such as HuggingFace, PyTorch, Transformers, and the SQL Alchemy library are highly desirable.

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)

• - Design, implement, and maintain reliable and scalable SQL databases.
• - Collaborate with cross-functional teams to translate client requirements into solutions using programming languages like Python, Java, Kafka, Hive, R, or Storm.
• - Oversee cloud-based database platforms and maintain security controls.
• - Develop and maintain basic ETL/ELT pipelines to support mission-critical analytics.
• - Assist in integrating, cleaning, and validating data from structured and unstructured sources.
• - Contribute to data modeling, documentation, and process improvement initiatives.
• - Creating API endpoints using Flask or FastAPI for accessing diverse sources like Commercially Available Information (CAI), Publicly Available Information (PAI), and classified datasets.
• - Developing data pipelines using Apache Airflow to perform ETL operations into Postgres or Elasticsearch databases, utilizing languages such as Python, Bash, and SQL.
• - Lead complex data engineering projects, mentor junior staff, contribute to strategic initiatives, and leverage advanced technical expertise in Python, SQL, and Spark to solve intricate data challenges.
• - Demonstrated experience managing small techincally focused teams delivering value to a globally distributed enterprise.

REQUIRED SKILLS:

• - Proficiency in Python, Bash, and SQL, as well as experience with Postgres or Elasticsearch databases.
• - Skilled in setting up Flask or FastAPI applications, Docker containerization, and Git version control, along with software testing expertise in Python.
• - Understanding of data warehousing concepts and cloud technologies (AWS, Azure, or GCP).
• - Familiarity with Databricks, Spark, or similar distributed data tools (academic/project experience accepted).

WHAT YOU’LL NEED TO SUCCEED

• - Clearance: Current DoW TS/SCI Clearance is required.
• - Experience: 10+ years of related experience (internship or academic project experience accepted).
• - Education: Bachelor’s degree in Data Engineering, Computer Science, Information Systems, or a related field.
• - Certifications: None required; cloud foundational certifications preferred.