Data Solution Engineer

Aretum is seeking a Data Solution Engineer that will provide delivery capacity to implement pilots and proof-of-concept solutions. The individual will also execute pipeline development, tagging, policy application, and testing across medallion layers., * Develop, test and implement data pipelines in Databricks using SQL, Python, and Apache Spark to support 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, to ensure data is handled appropriately throughout pipeline processing.
• Define and maintain pipeline and workflow configurations using YAML and other configurations as code practices to support consistent, repeatable, and maintainable deployments.
• Execute data quality testing and validation procedures to verify data accuracy, completeness, consistency, and compliance with established data contracts and business rules, This is a remote position; however, occasional travel may be required based on project needs, client meetings, team collaboration events, or training sessions. Travel is expected to be less than 10% and will be communicated in advance whenever possible.

EEO Statement

Aretum is committed to fostering a workplace rooted in excellence, integrity, and equal opportunity for all. We adhere to merit-based hiring practices, ensuring that all employment decisions are made based on qualifications, skills, and ability to perform the job, without preference or consideration of factors unrelated to job performance.

As an Equal Opportunity Employer, Aretum complies with all applicable federal, state, and local employment laws.

We are proud to support our nation’s veterans and military families, providing career opportunities that honor their service and experience.

• BS/BA degree and 3 -5 years of data engineering, 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 the 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, proficiency in defining pipeline configuration and data contracts declaratively (e.g., YAML) as version-controlled, enforceable artifacts.

Preferred Skills:

• Exposure to cybersecurity environment.

• Salary Range: $90,000-$105,000 annually. Final compensation will be determined based on factors including education, experience, qualifications, skills, and applicable contract requirements.
• 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, $90,000.00

Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront.