Data Solution Engineer

Aretum • McLean, VA

1d • Remote

About The Position

Aretum is seeking a Data Solution Engineer to provide delivery capacity for pilots and proof-of-concept solutions. The role also supports pipeline development, tagging, policy application, and testing across medallion architecture layers. The position is remote, with occasional travel expected to be less than 10% based on project needs, client meetings, team collaboration events, or training sessions. Employees may handle Controlled Unclassified Information (CUI) and must follow applicable safeguarding and compliance requirements. Only U.S. citizens are eligible due to federal contract requirements. The position requires the ability to obtain and maintain a Public Trust or Suitability Determination, depending on agency background investigation requirements.

Requirements

• BS/BA degree and 3–5 years of data engineering experience, including hands-on work with Databricks, Spark, and YAML, or an equivalent combination of education and experience.
• Demonstrated experience designing data governance, tagging, and metadata standards.
• Deep understanding of medallion architecture and how metadata, sensitivity, and access requirements evolve across Bronze, Silver, and Gold.
• Experience implementing column masking, row-level security, and dynamic access controls.
• Ability to reconcile competing requirements across stakeholders.
• Strong SQL and Spark skills.
• Proficiency defining pipeline configuration and data contracts declaratively (e.g., YAML) as version-controlled, enforceable artifacts.
• U.S. citizenship.
• Ability to obtain and maintain a Public Trust or Suitability Determination, depending on agency background investigation requirements.

Nice To Haves

• Exposure to a cybersecurity environment.

Responsibilities

• Develop, test, and implement data pipelines in Databricks using SQL, Python, and Apache Spark for pilot initiatives, proof-of-concept solutions, and production data workflows.
• Build and maintain data pipelines across bronze, silver, and gold layers of the medallion architecture, following established architecture, transformation, and governance standards.
• Implement data governance tagging, metadata standards, and classification roles in Unity Catalog in accordance with established designs and requirements.
• Apply established data protection policies, including column masking, access controls, and reference data lookups, throughout pipeline processing.
• Define and maintain pipeline and workflow configurations using YAML and other configuration-as-code practices for consistent, repeatable, maintainable deployments.
• Execute data quality testing and validation to verify accuracy, completeness, consistency, and compliance with established data contracts and business rules.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• Family Leave (Maternity, Paternity)
• Short Term & Long-Term Disability
• Training & Development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level