649 data engineer python jobs at 147 companies in Marina, CA
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Data Engineer
Austin or Cupertino or San Diego
HybridFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEBachelor's degree plus 3 years of relevant experience; 3+ years in software/data engineering; Python; Oracle SQL; Linux; Git; data pipelines; data governance.
Python, Oracle SQL, Linux, Git, Cassandra, MLOps, Data Visualization
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.
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.
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
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.
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).
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
8+ YOEMaster's in CS/Engineering plus 8 years (or Bachelor's plus 10 years). Requires data engineering, Python, Shell, SQL, ETL, BigQuery, GCP, Kafka, Airflow, Spark/Hadoop, BI tools, data modeling experience.
Python, Shell, SQL, Tableau, ThoughtSpot, Google BigQuery, Google Cloud Platform, Erwin, Apache Kafka, Apache Airflow, Automic UC4, Spark, Hadoop
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.
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.
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.
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.
3+ YOEBachelor's in CS/Math/related or equivalent; 3+ years with data processing (Hadoop, Spark, Pig, Hive), DB administration or data engineering, software experience in Java/C++/Python/Go/JavaScript, and client-facing project experience.
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.
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
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.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOEDegree in Computer Science or Information Systems; Master’s with 2 years data engineering experience; at least 4 years in relevant technologies; Python and Java programming; big data (Spark/Kafka); AI/Generative AI experience; containerization (Kubernetes, Airflow); cloud development.
TikTok: Global short-form video hosting and social media platform.
Experience building data solutions and data warehouses, strong problem-solving, SQL and Python coding, and ability to translate business needs into technical metrics.