281 data pipeline engineer jobs at 140 companies in Morgan Hill, CA
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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.
AVEVA: Industrial software for engineering and operational performance management.
3+ YOEBachelor's in a STEM field,minimum 3 years data engineering experience,proficiency with data pipelines,ETL/ELT,SQL,and cloud data platforms (Azure preferred).
Microsoft Azure, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Python, Spark, SQL
Gridmatic: AI-powered platform for optimizing energy trading and battery storage.
Experience building large-scale production data pipelines, designing storage and schema for timeseries and warehouse data, proficiency with DBT and data processing tools, strong software engineering skills, and startup experience.
RADAR: Real-time inventory tracking using RFID and computer vision technology.
8+ YOE8+ years data/analytics engineering experience, strong SQL and Python, experience with batch and streaming pipelines, data modeling, data quality, testing, monitoring, and mentoring engineers.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years experience building data platforms and pipelines, strong SQL and Python, data modeling, data quality, cloud data platforms and analytics for engineering data.
Waystation: AI-native procurement platform for consumer packaged goods.
8+ YOE8+ years building production data systems with hands-on early-stage startup experience; deep Python and SQL skills; experience with extraction, ML/NLP pipelines, and owning data models and pipelines.
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
1+ YOEMS in CS/Electrical or related, 1+ years software engineering, expertise in Python and SQL, experience with large-scale data processing (Spark, MapReduce, Kafka), AWS (S3, EC2, RDS), and building/maintaining data pipelines.
Denver or New York City or San Francisco or Los Angeles or Seattle or San Jose or Scottsdale
$155k-$220k/yrHybridFull Time
Gusto: Cloud-based payroll and HR software for small businesses.
8+ YOE8–10+ years in data engineering; SQL and Python, Scala, or Java; scalable pipelines, ETL, dbt, data modeling, cloud platforms, CI/CD, testing, observability, monitoring, and incident response.
Robert HalfNYSE: RHI: Provides specialized staffing and global business consulting services.
5+ YOE5+ years Python/SQL data engineering; 3+ years cloud AWS; ETL/ELT pipelines; Docker/Kubernetes; Terraform/CloudFormation; Spark; CI/CD; collaboration with data science and MLOps; mentoring.
United States or Menlo Park or New York City or Seattle
$150k-$220k/yrRemoteFull Time
Verantos: Generates high-accuracy real-world evidence for clinical and regulatory use
8+ YOE8+ years data engineering experience, production Snowflake and dbt experience, strong Python skills, building resilient pipelines on high-variance clinical data, observability and automation mindset, cross-functional communication.
Snowflake, dbt, Python, AWS, EHR, Observational Medical Outcomes Partnership Common Data Model (OMOP CDM), HL7, FHIR
Qualitest: AI-powered software testing and quality engineering services.
Requires Python and PySpark, cloud data platform experience with Snowflake or Databricks, pipeline design and orchestration, Spark tuning, CI/CD, DevOps, version control, and scalable data solution collaboration.
Python, PySpark, Snowflake, Databricks, Terraform, CI/CD, DevOps, QCraft, Microsoft Azure
Allocate: A fintech providing a data-rich platform for discovering, modeling, and managing private market investments.
5+ YOE5+ years data engineering experience; strong AWS (S3, EC2, EKS, Redshift, Glue, Athena) and cloud skills; SQL, Python, data modeling, ETL/ELT, and pipeline production experience; familiarity with vector DBs and ML data workflows.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Build and maintain reliable data interfaces and pipelines in enterprise data warehouse and lakehouse environments; collaborate with finance, IS&T, data scientists, and engineers; learn Finance business processes.
QuickLaunch Analytics: Provides enterprise data analytics platforms for ERP and CRM data.
3+ YOEMid-level data platform engineer with Databricks and Fabric; experience building data pipelines, ETL/ELT, Azure, SQL, Python; customer-facing consulting.
New York City or London or Palo Alto or Copenhagen or Seoul
$275k-$340k/yrHybridFull Time
Normal Computing: Building probabilistic AI and thermodynamic computing for semiconductor design.
Own end-to-end data pipelines for synthetic and mined training data, negotiate customer data access, ensure data quality and lineage, partner with ML and verification teams, and manage a growing data engineering team.
Rhombus Power: Predictive AI software for defense and national security operations.
3+ YOE3+ years data engineering experience (or Master's+1yr), proficiency in Python and data tooling, experience building ETL pipelines, relational/NoSQL databases, AWS, and strong communication skills.
MonksLondon Stock Exchange: SFOR: A global digital marketing and technology services agency
5+ YOERequires 5+ years of data engineering experience, expert SQL, Python, and experience with Airflow, Spark, Trino/Dremio, Apache Iceberg, Kafka, Docker, ETL/ELT, Git, CI/CD, lakehouse architectures, and production pipelines.
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
8+ YOE8+ years in data engineering building production-grade ETL/ELT pipelines; experience with enterprise platforms (SAP, Workday, Salesforce); strong Python, SQL, orchestration, monitoring and systems-design skills.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years building production data pipelines and analytics datasets; strong SQL and Python; data modeling, data quality, and cloud data platform experience; BS/MS in CS/CE/EE.