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Machine Learning Administrator
- Richmond, Virginia, United States
- Richmond, Virginia, United States
Über
Full-time
Description
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
Requirements
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 techniquesExperience 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.
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Sprachkenntnisse
- English
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