7 staff data engineer jobs at 6 companies in Ventura, CA
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Staff Data Scientist
Santa Monica or Brooklyn or San Francisco or Los Angeles or New York City
$200k-$230k/yrHybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Strong applied data science and optimization experience; production modeling, experimentation, Python, AI-native workflows, and ability to partner with engineers to productionize decisioning systems.
Inversion Space: Building autonomous re-entry vehicles for global space-to-Earth cargo delivery.
9+ YOEBachelor's in Aerospace or Mechanical Eng; 9+ years in hypersonic aerothermodynamics; CFD/DSMC; high-fidelity gas dynamics; meshing tools; non-equilibrium flows; data integration; uncertainty quantification; fast-paced environment.
AbbottNYSE: ABT: Manufactures medical devices, diagnostics, and nutritional health products.
8+ YOEBachelor's degree and 8–10 years of related experience, or master's degree and 7+ years. Requires Java/OOP, data structures, multithreading, Linux, CI/CD, Git, Jira, debugging, and software development expertise.
MarvellNASDAQ: MRVL: Designs and develops high-performance semiconductor and infrastructure solutions.
8+ YOEPh.D. or Master’s in EE/Physics/Photonics, 8+ years in silicon photonics design/characterization/production testing, expertise in integrated optics, automation with Python/LabVIEW/C++, and statistical data analysis.
Santa Monica or Brooklyn or New York City or United States
$190k-$220k/yrHybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Senior full-stack engineer with strong backend/API skills, product instincts, AI tool fluency, and experience building data-heavy services and integrations.
San Francisco or Los Angeles or Seattle or Santa Barbara or San Diego or Denver or Austin or Chicago or New York City or Toronto
$139k-$208k/yrRemoteFull Time
Invoca: AI platform for conversation intelligence and revenue execution.
7+ YOERequires 7+ years in product management, including 2–3 years at staff or principal level, experience with data, analytics, or ML products, AI evaluation criteria, unstructured conversation data, and data engineering partnerships.