Data Solution Engineer

Aretum • McLean, VA

12h • $90,000 - $105,000 • 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 executes pipeline development, tagging, policy application, and testing across medallion layers. The position supports federal consulting work, where employees may handle Controlled Unclassified Information (CUI) and must follow applicable safeguarding and compliance requirements.

This is a remote position. Occasional travel may be required for project needs, client meetings, team collaboration events, or training, and is expected to be less than 10%. The role requires U.S. citizenship and the ability to obtain and maintain a Public Trust or Suitability Determination, depending on agency requirements. DHS Suitability is required.

Requirements

• Bachelor of Science or Bachelor of Arts degree and 3–5 years of data engineering experience, including hands-on Databricks, Spark, and YAML work, 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 layers.
• Experience implementing column masking, row-level security, and dynamic access controls.
• Ability to reconcile competing stakeholder requirements.
• Strong SQL and Spark skills.
• Proficiency defining pipeline configuration and data contracts declaratively (for example, with YAML) as version-controlled, enforceable artifacts.
• U.S. citizenship.
• Ability to obtain and maintain a Public Trust or Suitability Determination, as required by the agency.

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 workflows.
• Build and maintain pipelines across bronze, silver, and gold medallion layers in accordance with architecture, transformation, and governance standards.
• Implement data governance tagging, metadata standards, and classification roles in Unity Catalog according to established designs and requirements.
• Apply 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.
• Execute data quality testing and validation to verify data accuracy, completeness, consistency, and compliance with data contracts and business rules.
• Reconcile competing requirements across stakeholders.

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