4 cloud data engineer jobs at 4 companies in Brattleboro, VT
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
ISO New England: Operates the New England power grid and wholesale markets.
8+ YOEBachelor's in CS/Engineering/Math (Master's preferred), 8+ years data engineering experience, 5+ years with SQL and Python, cloud (AWS S3/Lambda/Athena/Aurora/Glue/Redshift), PostgreSQL, mentoring and architecture experience.
Berkshire Health Systems: Provides comprehensive medical, surgical, and emergency healthcare services.
Proven data architecture experience with NoSQL, SQL, Hadoop, Spark, Oracle, Microsoft SQL Server and Microsoft Fabric Data Lake; cloud (AWS/Azure); data modeling, ETL, data warehouse; bachelor's degree in CS/data science/engineering or related.
NoSQL, SQL, Hadoop, Spark, Oracle, Microsoft SQL Server, Microsoft Fabric Data Lake, AWS, Azure, Java, Python, Bash (Unix shell)
Documentation Delivery Configuration and Data Management Lead
Pittsfield, Massachusetts, United States
$90k-$98k/yrHybridFull Time
General Dynamics Mission SystemsNYSE: GD: Designs and manufactures defense and mission-critical technology solutions.
2+ YOEBachelor's in engineering or related (or equivalent experience) plus 2+ years related experience (or Master's). U.S. citizenship required; Department of Defense Secret clearance obtainable. Skills in configuration/data management, engineering drawing practices, process improvement, leadership, MS Office, and product data management.
Artificial Intelligence, Blockchain, AR/VR, Cloud Native, Quantum Physics, Microsoft Office, Product Data Management
Bristol Myers SquibbNew York Stock Exchange: BMY: Develops and distributes innovative medicines for serious diseases.
5+ YOE2+ MgmtBachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field; 5+ years deploying models in production; lead MLOps initiatives; strong Python/SQL; cloud and CI/CD; ML frameworks; ability to lead cross-functional teams.