61 pipeline engineer jobs at 36 companies in Gustine, CA
3d
Save
Mark Applied
Hide
3d
Principal Scientist - Data Pipeline Engineer
San Jose or Seattle or San Francisco
$206k-$388k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE10+ years in data engineering/ML infrastructure, distributed systems expertise, Python and a systems language, experience with Ray or Spark, GPU inference optimization, large-scale databases and data curation for model training.
Rivet Industries: Building integrated task systems for frontline industrial and defense operators.
5+ YOE5+ years in system software, graphics, or camera pipelines; strong Linux/Android system experience; camera and GPU pipeline expertise; low-latency optimization and driver/debug experience.
The Trade DeskNASDAQ: TTD: Cloud-based programmatic advertising platform for data-driven media buying.
7+ YOE7+ years software development (5+ in data engineering), experience with Vertica/Snowflake/Databricks, Apache Spark, Kafka, Java/Scala/Python, cloud (AWS/GCP/Azure), Kubernetes, data governance, ML pipelines, content metadata and distributed systems.
TikTok: Global short-form video hosting and social media platform.
1+ YOEMaster's (1 year experience) or Bachelor's (3 years) in CS/Engineering/IS/Math/Data Science; experience with Java, Go, C++, JavaScript, Ruby, or Python; Linux, containers, version control (Pipeline,Bash,Git).
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.
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.
Chicago or Hartford or Nashville or Costa Mesa or San Jose or Atlanta or Boston or Cleveland or Columbus or Dallas or Denver or Fort Lauderdale or Grand Rapids or Indianapolis or Los Angeles or Miami or New York or Oakbrook Terrace or Sacramento or San Francisco or South Bend or Tampa or Houston or Austin or Charlotte
$95k-$213k/yrOnsiteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
Design, operate, and scale production Kubernetes (AKS) platforms; build Terraform and Crossplane infra-as-code; implement GitOps with FluxCD; create Azure DevOps pipelines; define observability (Azure Monitor, Prometheus, Grafana); bachelor’s degree required.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
1+ YOEImplement and optimize ML algorithms for real-time streaming pipelines at massive scale; strong math, production coding, and systems experience required.
Samsung ElectronicsKorea Exchange: 005930: Develops and manufactures consumer electronics, semiconductors, and mobile devices.
2+ YOE2+ years verification experience with GPU/CPU/semiconductor designs, SystemVerilog/C++/Python skills, understanding of computer architecture and graphics pipelines, strong communication and debugging skills.
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.
Hark: An artificial intelligence building multimodal models and next-generation hardware to create a unified human–machine interface.
4+ YOE4+ years software engineering with privacy infrastructure focus; hands-on DSAR/deletion/consent pipeline experience; familiarity with PII tokenization/de-identification; ability to translate CCPA/GDPR into technical architectures.
ArloNYSE: ARLO: Provide wireless smart home security cameras and monitoring services.
4+ YOE4-6+ years as a Data Engineer or analytics-focused role; strong SQL; experience with Databricks; knowledge of BI concepts, data modeling, and production pipelines.
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.
BILLNYSE: BILL: Automated financial operations software for small and midsize businesses.
12+ YOE12+ years building risk/security platforms in fintech, JVM/Java systems, AWS, access control, real-time pipelines, ML operationalization, and using AI tools to improve engineering.
Cadence Design SystemsNASDAQ: CDNS: Develops computational software and hardware for electronic system design.
5+ YOEAdvanced ML and software engineering experience building production-quality agentic systems, LLM deployment, evaluation frameworks, retrieval pipelines, and observability for large-scale EDA workflows.
Xcelium, Jasper, Palladium, Protium, Helium, EDA, Large language models (LLMs), Retrieval-augmented generation (RAG)
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
7+ YOESenior backend engineer with 7+ years in distributed data processing, expert in Java, Spark/Kafka/Flink, and cloud platforms; strong distributed systems and real-time data pipelines.
Java, Akka, Spring Boot, Apache Spark, Kafka, Flink, DynamoDB, Aerospike, AWS, Azure, Google Cloud, Docker, Kubernetes, SQL, NoSQL
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.