2,161 data developer jobs at 452 companies in Aromas, CA
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Data Engineer, Battery Data Platform & AI
Cupertino, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and build reliable data systems and AI interfaces, develop scalable data pipelines, and support battery engineering data needs across the organization.
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.
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.
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.
Livingston or New York City or Sunnyvale or San Francisco or Bellevue
$207k-$275k/yrOnsiteFull Time
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
10+ YOE10+ years in data or software engineering with enterprise data architecture experience; expertise in lakehouse architectures, data modeling, governance, SQL and production programming (Python/Scala/Java/Rust); strong cross-team leadership.
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.
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
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.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
7+ YOE7+ years experience in data analytics/engineering, bachelor's in a quantitative field, proficiency in Java or Python, ETL/data modeling, big data frameworks, and visualization tools; strong communication 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.
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).
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
1+ YOEMaster's in CS/Engineering/Info Systems/Math (or Bachelor's + 5 yrs) with 1+ years experience developing and operating large-scale BI data structures using ETL/ELT, OLAP, data modeling, SQL, Oracle; OBIEE and mentoring experience preferred.
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.
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.
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
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.
1+ YOEBachelor's in CS or equivalent,1 year designing data pipelines,SQL and visualization (Tableau),experience with Python/C++/Java,strong analytical and communication skills.
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.
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.