Junior Data Engineer

Summary

Marathon TS is seeking a Junior Data Engineer to support critical missions within Peraton's Risk Decision Group. The role develops and maintains data ingestion pipelines, transformations, and governed data products for a federal background investigation data and AI platform, while supporting infrastructure-as-code, CI/CD, data quality, governance, and machine learning teams in a regulated environment.

Responsibilities

• Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products
• Extend the platform following the architecture, patterns, and standards set by the lead platform engineer
• Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment
• Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues
• Apply data governance, cataloging, and access-control practices within the established framework
• Support the data science and ML team by delivering the governed datasets and tooling they need
• Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering
• Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes

Skills

• U.S. citizenship required
• Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance
• 5-7 years building and maintaining production data pipelines
• Strong proficiency in Python and SQL
• Hands-on ETL / data pipeline development and sound analytical data modeling
• Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows
• Solid analytical, troubleshooting, and communication skills
• Dependable, self-directed execution with minimal oversight
• Strong collaboration across technical and non-technical teams
• Clear documentation and knowledge-sharing
• Eagerness to grow ownership and learn the compliance environment
• Bachelor's degree in computer science, software engineering or relevant field required
• Active clearance preferred
• Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake)
• Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads
• Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling
• Active security clearance (T5/SSBI or higher)
• Government or defense contracting experience
• Familiarity with data governance / cataloging tooling (e.g., Unity Catalog) and orchestration tools (Airflow, dbt)

Qualifications

Must Haves

• U.S. citizenship required
• Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance
• 5-7 years building and maintaining production data pipelines
• Strong proficiency in Python and SQL
• Hands-on ETL / data pipeline development and sound analytical data modeling
• Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows
• Solid analytical, troubleshooting, and communication skills
• Dependable, self-directed execution with minimal oversight
• Strong collaboration across technical and non-technical teams
• Clear documentation and knowledge-sharing
• Eagerness to grow ownership and learn the compliance environment
• Bachelor's degree in computer science, software engineering or relevant field required

Nice to Haves

• active clearance preferred
• Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake)
• Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads
• Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling
• Active security clearance (T5/SSBI or higher)
• Government or defense contracting experience
• Familiarity with data governance / cataloging tooling (e.g., Unity Catalog) and orchestration tools (Airflow, dbt)

Benefits

• Remote role