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Remote Databricks & Data Platform Admin

Personalwesen
Second-61
Fully, SchweizVor 2 WochenBis 3.5.2026

Stellenbeschreibung

pstrongDescriptionbr/strong /ppJob TypebrFull-timebrstrongDescriptionbr/strongstrongSecond-61: /strong 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.brstrongPosition Description: /strong 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.brstrongLocation: /strong RemotebrstrongResponsibilitiesbr/strongulliAdminister and maintain the Databricks platform, including workspace management and cluster optimization /liliManage and optimize Unity Catalog for data governance and access control /liliBuild and support ETL and ELT data pipelines using Spark and cloud native tools /liliOptimize Delta Lake architecture and overall lakehouse performance /liliSupport AI and machine learning workflows within the platform /liliImplement and maintain CI CD pipelines for data and ML operations /liliManage IAM and RBAC across AWS, Azure, and GCP environments /liliEnsure platform security and compliance with DoD data policies /liliMonitor system performance and troubleshoot data platform issues /liliCollaborate with engineering and analytics teams to support data driven solutionsbr/li /ulstrongRequirementsbr/strongulliMaster’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 /liliExperience administering Databricks in an enterprise environment /liliStrong experience with ETL or ELT pipeline development /liliExperience working with Delta Lake and lakehouse architectures /liliHands on experience with Python and SQL or NoSQL databases /liliExperience with Apache Spark and distributed data processing /liliExperience with cloud platforms such as AWS, Azure, or GCP /liliExperience implementing CI CD pipelines and DevSecOps practices /liliWorking knowledge of IAM, RBAC, and cloud security principlesbr/li /ulstrongDesired Skills And Experiencebr/strongulliExperience supporting AI or machine learning workflows in production environments /liliExperience with Terraform or other Infrastructure as Code tools /liliExperience supporting federal or regulated data environments /liliExperience with Databricks SQL and advanced data optimization techniques /liliExperience working with large scale, multi source data environmentsbr/li /ulstrongCertificationsbr/strongulliRequired: None /liliPreferred: Databricks Certified Data Engineer or equivalent, AWS, Azure, or GCP cloud certifications, Certified Kubernetes Administrator CKAbr/li /ulstrongClearance Requirementbr/strongulliCandidate must be a U.S. citizen with the ability to pass a standard background check and drug screening.br/li /ulemAll 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. /em /p

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