366 data infrastructure engineer jobs at 187 companies in San Leandro, 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.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
3+ YOE3+ years experience, BS in CS or related (or equivalent experience), fluent English and Mandarin, familiarity with SQL and Python, experience with data lakes/warehouses and ETL/ELT pipelines, data modeling and quality management.
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.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
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.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
10+ YOE10+ years relevant experience and Bachelor’s degree or equivalent; deep experience with data platform infrastructure, real-time pipelines, resilience engineering, and mentoring senior engineers.
Senior Data Infrastructure & Compliance Engineer - US
Santa Clara, California, United States
RemoteFull Time
Bambu Lab: Manufacturer of desktop 3D printers and 3D printing accessories.
5+ YOE5+ years database administration/infrastructure experience; expertise in performance tuning, backup/recovery, and security; knowledge of regional data privacy regulations; professional English required; Mandarin preferred; valid local work authorization.
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
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
Build and scale data infrastructure for data engineering/ML; Kubernetes, Trino, Ray, MLflow; on-call; Go or Python; BS in CS/Engineering or equivalent.
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
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Define and lead technical vision for core infrastructure across data services, cloud engineering, and traffic engineering for global, secure, elastic systems handling financial data.
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.
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.
MaxInsights: Provides robot data collection for physical AI development.
Senior-level infrastructure experience with Python and backend systems, architecture judgment across data and platform workflows, ability to define boundaries, and strong communication and product sense.