40 big data engineer jobs at 10 companies in Gustine, CA
🚀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.
Monolithic Power SystemsNasdaq: MPWR: Provides energy-efficient integrated power semiconductor solutions for electronics.
Master's in Applied Analytics or Data Science required; senior-level role to collect, cleanse, model, and analyze large datasets, build dashboards and reports, apply ML and RFM analysis, and provide data-driven insights.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
8+ YOE8+ years data engineering experience, strong SQL, Python preferred, expertise with big-data tech (Hadoop, Spark, Kafka, Hive, Airflow), data modeling, and cloud platforms (AWS/GCP).
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
1+ YOEBachelor’s (7+ yrs) or Master’s (4+ yrs) or PhD (1+ yr) experience; building/managing data pipelines, scripting, RDBMS, cloud services, big-data processing, and collaborating with data scientists and stakeholders.
TikTok: Global short-form video hosting and social media platform.
BS/MS in CS or equivalent; experience with Hadoop, Hive, Spark, Presto, Kafka, ClickHouse, Flink; ETL, data ingestion, schema design and SQL; big data system architecture experience.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOEDegree in Computer Science or Information Systems; Master’s with 2 years data engineering experience; at least 4 years in relevant technologies; Python and Java programming; big data (Spark/Kafka); AI/Generative AI experience; containerization (Kubernetes, Airflow); cloud development.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
3+ YOEBachelors in CS or related (or equivalent experience), 3+ years software development and distributed systems experience, experience with AWS, Kafka/SQS, infrastructure-as-code, scripting (Python/Java/Bash), and big data operations.
LLM AIOps Development Engineer - Data Center Networking
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Deep data-center networking and Linux networking knowledge; proficiency in Golang or Python; experience with telemetry, observability, big-data pipelines, and LLM/AIOps approaches; familiarity with protocols like EVPN/VXLAN and BGP/OSPF.
United States or Colorado or Hawaii or Illinois or Maryland or Massachusetts or Minnesota or New Jersey or New York or Vermont or District of Columbia or Washington or California or San Francisco or Oakland or San Jose or Washington
$139k-$204k/yrRemoteFull Time
TwilioNYSE: TWLO: Cloud communications platform for building customer engagement applications.
5+ YOEBachelor's or Master's in CS/Engineering, 5+ years software development, proficiency in Python/Java/Scala, experience with big data tools (Kafka, Spark, Hive, Hudi, Presto, Airflow) and AWS services, strong problem-solving and communication skills.
San Jose or Durham or Mexico City or Bangalore or Pune or Hoofddorp or Belgrade or Barcelona or Singapore or Sydney or Tokyo
$190k-$380k/yrHybridFull Time
NutanixNASDAQ: NTNX: Sells cloud software and hyperconverged infrastructure for enterprises.
15+ YOE15+ years experience; bachelor’s in computer science or related required; experience architecting scalable data platforms, databases, big-data pipelines, Kubernetes, message queues/API gateways, OTEL, Parquet, Iceberg; proficiency in Python, Golang, C++, or Java; mentoring and SDLC experience.
Cadence Design SystemsNASDAQ: CDNS: Develops computational software and hardware for electronic system design.
5+ YOEBS +5 years or MS +3 years industry experience; advanced experience with LLM/ML/big data (e.g., Langchain, Spark); strong architecture design, performance tuning, algorithms, distributed systems; development in Python and C++, and high SQL proficiency.