Second-61: We are Vigilant Defenders. Our foundation is built upon patriotism, protecting what matters most. We honor each other, our community, our country, and our customers through exceptional services as their front-line defenders.

Position Description: Machine Learning Administrator – Contingent Pipeline Opportunity – We’re building a talent pipeline for upcoming U.S. Government defense IT and analytics support roles. Opportunities are contingent upon task order awards and funding under existing contracts.

Location: Remote

Responsibilities:

• Administer and maintain the Databricks platform, including workspace management and cluster optimization
• Manage and optimize Unity Catalog for data governance and access control
• Build and support ETL and ELT data pipelines using Spark and cloud native tools
• Optimize Delta Lake architecture and overall lakehouse performance
• Support AI and machine learning workflows within the platform
• Implement and maintain CI CD pipelines for data and ML operations
• Manage IAM and RBAC across AWS, Azure, and GCP environments
• Ensure platform security and compliance with DoD data policies
• Monitor system performance and troubleshoot data platform issues
• Collaborate with engineering and analytics teams to support data driven solutions

• Master’s degree in Computer Science, Information Technology, Data Science, or related field
  OR 11 (eleven) years of equivalent experience in data platforms and cloud engineering
• Experience administering Databricks in an enterprise environment
• Strong experience with ETL or ELT pipeline development
• Experience working with Delta Lake and lakehouse architectures
• Hands on experience with Python and SQL or NoSQL databases
• Experience with Apache Spark and distributed data processing
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience implementing CI CD pipelines and DevSecOps practices
• Working knowledge of IAM, RBAC, and cloud security principles

Desired Skills and Experience:

• Experience supporting AI or machine learning workflows in production environments
• Experience with Terraform or other Infrastructure as Code tools
• Experience supporting federal or regulated data environments
• Experience with Databricks SQL and advanced data optimization techniques
• Experience working with large scale, multi source data environments

Certifications:

• Required: None
• Preferred: Databricks Certified Data Engineer or equivalent, AWS, Azure, or GCP cloud certifications, Certified Kubernetes Administrator CKA

Clearance Requirement:

• Candidate must be a U.S. citizen with the ability to pass a standard background check and drug screening.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.