337 data infrastructure engineer jobs at 182 companies in Larkspur, CA
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Staff Data Infrastructure Engineer
New York or San Francisco or Seattle
$212k-$265k/yrHybridFull Time
Headway: A building a software platform to expand access to mental healthcare and simplify provider operations.
10+ YOE10+ years building and leading data infrastructure, strong Python and SQL, Snowflake and cloud (AWS) experience, infra-as-code (Terraform/Pulumi/AWS CDK), Airflow, observability, and cross-team technical leadership.
Discord: A platform providing voice, video, and text communication services.
7+ YOERequires 7+ years in data and software engineering, expert SQL, strong Python, data infrastructure at scale, data quality and monitoring expertise, cross-functional collaboration, and technical leadership.
OusterNASDAQ: OUST: Designs and manufactures high-resolution digital lidar sensors.
8+ YOE8+ years designing and validating scalable cloud data infrastructure and pipelines for large, unstructured multimodal sensor datasets; prototype-to-production experience; data quality, governance, and ML data tooling knowledge.
Decagon: Conversational AI platform for automated customer support.
5+ YOE5+ years building and operating production data infrastructure at scale; expertise with ClickHouse, Kafka, Flink; strong HA/low latency; excellent observability and incident response; clear written communication.
Cerebras SystemsNasdaq: CBRS: Manufactures specialized computer chips designed for AI.
3+ YOE3+ years in data center or infrastructure engineering; strong Linux administration, x86 hardware, enterprise networking, BIOS/firmware and remote management; scripting with Bash or Python; on-site work and ability to lift/move servers.
Member of Technical Staff – Senior Engineer, Data Infrastructure & Data Operations
San Francisco or Cambridge
$255k-$340k/yrOnsiteFull Time
Walden Robotics: Builds general-purpose robots and develops the teams and infrastructure to scale robot applications and improve quality of life.
Experience building production data infrastructure and high-throughput pipelines, cloud-based data platform development, platform reliability and cost ownership, and collaboration with ML teams.
Droyd: Builds and deploys teleoperated and autonomous robotic systems for large-scale construction and infrastructure buildout.
5+ YOE5+ years software development; experience architecting large-scale data pipelines; proficiency in Rust, Go, or Python; experience with streaming video/telemetry and edge/robot data a plus.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
4+ YOE4+ years in data infrastructure/MLOps or infrastructure engineering; proficiency in Python; experience with Kubernetes and distributed systems; knowledge of large-scale compute and storage platforms.
Genesis AI: Building general-purpose robots with human-level physical intelligence.
Experience building simulation and robotics infrastructure, strong software engineering in Python or C++, and knowledge of distributed systems, data pipelines, and production engineering practices.
Python, C++, genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
5+ YOE5+ years in data infrastructure or ML infrastructure; experience with large-scale data pipelines; distributed systems and cloud storage; proficiency with Ray or Spark; strong observability and production reliability; end-to-end ownership of systems.
Ray, Spark, Snowflake, BigQuery, Redshift, DVC, Delta Lake
Lightfield: AI-powered CRM automating customer interaction capture and insights.
Experience owning production data systems, strong software engineering fundamentals, debugging across stack, query performance and schema evolution, product-oriented judgment.
Supio: AI-powered data analysis platform for personal injury law firms.
4+ YOE4+ years in data engineering or data science, experience building data infrastructure, data lakes and distributed systems, strong business acumen, independent execution, communication skills, and familiarity with LLMs/AI agents.
Montreal or New York City or Bangalore or San Francisco
OnsiteFull Time
AtoB: Modernizing financial infrastructure and payments for the trucking industry.
8+ YOERequires 8–12 years of experience, deep Kubernetes expertise, scalable CI/CD experience, SQL skills, data engineering knowledge, cross-functional collaboration, and end-to-end systems ownership.
Lead Infrastructure Engineer - Data Center Networking
San Francisco, California, United States
$143k-$185k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOEFormal infrastructure training/certification and 5+ years' experience; expertise in data center networking (Cisco NX-OS, Arista EOS, Cisco ACI), BGP/OSPF/IS-IS, SDN/EVPN-VXLAN, automation with Ansible/Jinja2, and network automation tooling.
SnailWorks: SnailWorks provides mail tracking and delivery intelligence software for marketers.
Hands-on leadership experience in distributed systems, query engines, or cloud data platforms, with production Python, SQL, Terraform or Pulumi, and expertise in lakehouse, warehouse, streaming, and CDC architectures.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
3+ YOEBachelor's in CS or related, 3+ years in large-scale data processing or data platform development, proficiency in Python/Go/Java, experience with distributed systems, message queues, data lakes, databases, Kubernetes/Docker, and strong cross-team communication.
Gridsight: Provides an AI-powered cloud analytics platform for electricity grid management.
4+ YOE4+ years in data/analytics engineering or technical consulting; advanced SQL, Python, dbt experience; cloud data infrastructure and Git familiarity; customer-facing implementation experience.
Databricks, dbt, Dagster, AWS, Claude Code, SQL, Python, Git
OpenAI: Develops artificial intelligence models and generative AI software services.
4+ YOEBachelor's or equivalent experience,4+ years in software/data/backend/infrastructure engineering,strong Python and SQL,experience building data integrations and production services,REST API and orchestration experience.