271 cloud data engineer jobs at 91 companies in Prunedale, CA
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Principal Engineer, Cloud Data Infrastructure
San Jose or Austin
$218k-$324k/yrHybridFull Time
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.
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.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
7+ YOERequires 7+ years in data engineering or architecture, production ETL/ELT, complex SQL, data warehousing, on-premises and cloud platforms, and pipeline orchestration. Python or Java, Git, and a technical bachelor's degree preferred.
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.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
2+ YOEDesign and operate large-scale data pipelines on GCP using Spark, Airflow, BigQuery; optimize cloud cost; build automation and AI-driven engineering tools; 2+ years data engineering experience.
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).
Boston ScientificNYSE: BSX: Manufacturer of interventional medical devices and technologies.
13+ YOEBachelor's in CS or related, 13+ years data engineering with 6+ years building AWS cloud-native data platforms; expertise with AWS data services, Snowflake, Python, Terraform, Spark/Flink, and governance automation.
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.
Boston ScientificNYSE: BSX: Developer and manufacturer of innovative medical devices and therapies.
13+ YOEBachelor's degree required; 13+ years data engineering experience including 6+ years designing cloud-native AWS data platforms and 4+ years building scalable data platform solutions. Expertise with AWS data services, Snowflake, Python, Terraform, Bash, Spark/Flink, and governance automation.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
8+ YOESenior data engineer with 8+ years experience, distributed data and cloud technologies (Hadoop, Spark, Databricks, S3, EMR), streaming (Kafka/Kinesis), strong SQL and Python/PySpark/Scala skills, CI/CD and orchestration experience, and strong communication.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years experience designing and delivering GCP workloads, infrastructure as code, CI/CD, security controls, networking, observability, and data pipelines.
Bloom EnergyNYSE: BE: Manufactures solid oxide fuel cell systems for onsite power.
10+ YOEBachelor's degree and 10+ years in security engineering with hands-on AWS/Azure cloud security, CI/CD and IaC automation, IAM, network and data protection, and experience applying NIST/CIS/Zero Trust frameworks.
AWS Principal Data Engineer (Valencia, CA, US, 91355)
Valencia or Santa Clara or Arden Hills
$107k-$203k/yrHybridFull Time, Contract
Boston ScientificNYSE: BSX: Developing and manufacturing innovative medical devices for less-invasive treatments.
13+ YOEBachelor's degree required; 13+ years data engineering experience with 6+ years building cloud-native AWS data platforms and 4+ years building scalable data platform solutions. Expertise in AWS data services, Snowflake, Python, Terraform, Spark/Flink, and governance automation.
NewsBreak: Local news aggregation platform powered by artificial intelligence.
BS/MS in Computer Science or equivalent; experience with big-data technologies (Hadoop, Spark, Presto, Kafka, Flink), databases, and cloud (AWS). Strong modeling, communication, and mentoring skills; senior-level data infrastructure experience preferred.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
Proven engineering management experience in cloud platform or distributed systems, strong cloud-native and production operations skills, experience with messaging/data/storage platforms, and ability to hire and coach engineers.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
10+ YOE10+ years building large-scale distributed systems with 4+ years on GPU cloud infrastructure; experience with GPU training/inference, petabyte-scale data architecture, system design, and technical leadership.
Connectivity Cloud Hardware Engineer, Network Product Development
Austin or Herndon or Cupertino
OnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
1+ YOEBachelor's in Electrical or Communications Engineering; 1+ years data center or cabling experience; knowledge of ANSI/TIA, BICSI standards; 2+ years in fiber validation; ability to coordinate with vendors; strong documentation skills.
Harness: AI-powered platform for automating software delivery and DevOps.
9+ YOEBachelor's degree required (Master's preferred), 9+ years data engineering experience, proficiency in Python/Java/Scala, BigQuery/Spark/Kafka/DBT/SQLMesh, cloud platforms (AWS/Azure/Google Cloud), strong SQL and data modeling skills.
Python, Java, Scala, BigQuery, Spark, Kafka, DBT, SQLMesh, AWS, Azure, Google Cloud, SQL, Tableau, Power BI, Looker, Docker, Kubernetes, CI/CD