1,209 senior data engineer jobs at 245 companies in Prunedale, CA
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Senior Data Engineer
San Jose, California, United States
$149k-$361k/yrHybridFull Time
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).
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.
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
5+ YOE5+ years building analytical data models and production data systems; expertise in Python/Scala/Rust, advanced SQL, Spark/Flink, lakehouse technologies, and dimensional modeling for OLAP workloads.
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.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOE5+ years data engineering experience; degree in an analytical field or equivalent experience; strong SQL and Python skills; hands-on experience with Databricks, Spark SQL, dbt, Airflow, and cloud platforms (AWS/Azure); strong data architecture, quality, and communication skills.
SQL, Python, Databricks, Spark SQL, dbt, Airflow, AWS, Azure, Tableau, Power BI
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.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
1+ YOEDegree in a quantitative or computing field with 1–5+ years of data science experience depending on degree; equivalent experience accepted. Preferred: 7+ years industry experience and 1+ year working with AI solutions.
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.
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.
Bambu Lab: Manufacturer of desktop 3D printers and 3D printing accessories.
Extensive hands-on experience in data warehouse modeling and processing; expertise with Hadoop, Spark, Iceberg, Flink; software development in Java/Scala/Python; knowledge of CCPA/GDPR and strong business acumen.
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.
Qcells: Provider of solar modules, energy storage, and EPC services.
10+ YOE10+ years in data engineering or architecture, deep SQL and Python, Azure data services experience, distributed processing (Spark), data modeling, governance, and leadership experience.
Azure Fabric, Data Lake, Data Factory, Synapse, NetSuite, SAP, Salesforce, APIs, Delta Lake, Delta Tables, Snowflake, Kafka, Event Hub, Spark, Python, SQL
BILLNYSE: BILL: Automated financial operations software for small and midsize businesses.
8+ YOELead architecture and delivery of data platform capabilities (ingest, lake, streaming, feature store, query, graph, search). Requires distributed systems, streaming and batch experience, SQL and Python, and technical leadership.
CoupangNYSE: CPNG: Provides an end-to-end e-commerce and logistics network.
8+ YOE3+ Mgmt8+ years data engineering experience, 3+ years people management; proficiency in data modeling, ETL, Python, SQL; experience with Spark, HDFS, S3 and ETL schedulers (Airflow, Dagster, DBT); experimentation and ML familiarity.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Strong background in distributed data processing, demonstrable data intuition, and experience solving complex, high-impact data engineering problems at scale.
8+ YOEBachelor's degree or equivalent experience, 8 years programming with Python or Java, SQL and database development, and 8 years designing enterprise data architectures. AI/ML and data governance experience preferred.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
7+ YOE7+ years data engineering experience with deep data modeling and warehouse/lakehouse design; advanced SQL; Python; experience with Snowflake/Databricks/BigQuery; orchestration tools; data governance.
Qualitest: AI-powered software testing and quality engineering services.
5+ YOE5+ years quality engineering experience focused on data platforms; strong SQL, ETL/ELT testing, data validation, Azure experience, and ability to build scalable data quality processes.
Microsoft Azure, Azure OneLake, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, SQL, ETL/ELT Pipelines, Data Warehousing, Medallion Architecture