5 data ops engineer jobs at 5 companies in Orange, CT
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Principal Marketing Data Ops Engineer II
Bethesda or Getzville or New York City or Beachwood or Indianapolis or Tucson or Tampa or Chicago or Fredericksburg or Melville
HybridFull Time
GEICO: Provides vehicle and property insurance services to consumers.
7+ YOE7+ years building data pipelines in Python/Scala, 7+ years SQL with enterprise warehouses, 5+ years ETL/ELT and cloud infrastructure experience (Azure/AWS/GCP); BA/BS preferred.
Python, Scala, SQL, Snowflake, Databricks, Azure, AWS, GCP, Azure Data Factory, Microsoft Dynamics, Statsig, REST API
Poughkeepsie or Lowell or Rochester or Tucson or Research Triangle Park or Armonk or Boston or Bellevue or Atlanta or San Jose or Dallas or Austin or San Francisco or Seattle
$111k-$207k/yrRemoteFull Time
IBMNew York Stock Exchange: IBM: Global technology providing enterprise software, cloud, and consulting.
3+ YOEBS or higher in CS or related, 3+ years software engineering building cloud services/distributed systems, strong algorithms/data-structures, proficiency in a statically typed language and scripting, CI/CD and cloud platform experience, on-call and production ops experience.
The HartfordNYSE: HIG: Provides property and casualty insurance, group benefits, and wealth management.
10+ YOE10+ years building cloud-native data and platform solutions; strong Python and Typescript experience; hands-on ML/Ops, generative AI, vector search, and distributed systems; bachelor's in a technical field required.
Python, Typescript, Google Cloud, AWS, Azure, LangGraph, crewai, CI/CD, NoSQL
Precision Castparts Corp.NYSE: BRK.B: Manufacturer of complex metal components for aerospace and industrial markets.
Enrolled student pursuing a Bachelor's or Master's in Materials, Mechanical, or Aeronautical Engineering; minimum GPA 2.5; willingness to relocate; capable of data analysis, documentation, and process improvement.
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
4+ YOE4+ years in digital retirement/product roles; experience with account opening, funding, rollovers, and retirement disclosures; UX/data-driven improvements; cross-functional collaboration across product, engineering, risk, ops, and marketing.