1,497 sr data engineer jobs at 626 companies in Vallejo, CA
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Sr. Data Engineer
San Francisco, California, United States
$120k-$160k/yrHybridFull Time
SS&C TechnologiesNasdaq: SSNC: Provides software and technology for financial and healthcare sectors.
Experienced in data modeling, large-scale data pipelines, ETL/ELT, Python and PySpark, machine learning/NLP, data warehousing, and collaboration across engineering and product teams.
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.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor's or equivalent experience, 5+ years big data engineering, strong Python/Scala/SQL, Spark/Presto/Hive, Databricks and cloud MPP databases, Airflow, AWS S3, CI/CD, on-call and production operations experience.
DocuSignNASDAQ: DOCU: Provides electronic signature and agreement management software solutions.
8+ YOEBachelor's degree required; 8+ years experience in dimensional/relational data modeling, strong SQL and data pipeline skills in Python or Java, experience with cloud data platforms, ETL tools, and data architecture.
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
2+ YOE2+ years experience with a bachelor’s degree or advanced degree; strong Python, SQL, PySpark; Hadoop ecosystem; AWS data services; Airflow; CI/CD; data quality and observability; ability to collaborate with stakeholders.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
8+ YOEBachelor's in CS or related field, 8+ years dimensional/relational modeling, experience building data pipelines (Python or Java), strong SQL and data warehouse experience (Snowflake), ETL and cloud tool experience.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
4+ YOE4+ years in data engineering, strong Python and SQL, schema and time-series design, building and operating orchestrated pipelines in cloud with containers and CI/CD, data quality/observability/lineage, mentoring experience.
Tatcha: Provides Japanese-inspired luxury skincare and beauty products.
8+ YOE8+ years in data/analytics engineering with deep Snowflake expertise, ELT/ETL pipeline experience (FiveTran, dbt, Airflow), Power BI and advanced SQL skills, plus data governance and stakeholder partnership experience.
Stanford Health Care: Provides comprehensive medical care, specialized treatments, and clinical research.
3+ YOEBS/BA required. 7+ years in reporting/analytics/BI/healthcare tech OR 3+ years developing cloud data lake solutions (PySpark on Databricks) with DevOps/CI/CD. Advanced SQL, data modeling, Azure, and GitHub experience.
Databricks, PySpark, Notebooks, GitHub, Microsoft Azure, SQL, DevOps, CI/CD
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
5+ YOE5+ years data engineering experience in large-scale data lake/warehouse environments; strong SQL and distributed query engine experience; pipeline orchestration (Airflow/Prefect) and Spark/Databricks experience; data quality and observability expertise.
Sakata Seed AmericaTokyo Stock Exchange: 1377: Breeding and distributing high-quality vegetable and flower seeds.
5+ YOEDesign and maintain scalable ETL/ELT pipelines, data models, and Microsoft Fabric solutions; strong SQL and Python skills; 5+ years data engineering experience; knowledge of data governance and monitoring.
Microsoft Fabric, Data Factory, Lakehouse, Warehouse, Dataflow Gen2, notebooks, semantic models, SQL Server, PostgreSQL, MySQL, SQL, Python, REST APIs, Spark
Premier Nutrition CompanyNYSE: BRBR: Produces and distributes protein-based nutritional beverages and supplements.
5+ YOEDesign and maintain cloud-native ELT/ETL pipelines and Snowflake data platforms; 5+ years data engineering experience; strong SQL and Python; experience with dbt, Fivetran, data integration and observability.
Fivetran, dbt, Python, Snowflake, Oracle, SQL Server, GitHub, GitLab, Airflow, Azure Data Factory, Dell Boomi, NetSuite, Oracle EPM, O9, Salesforce, Snowflake Cortex, MCP, Tableau, SAP BO, Oracle BI, Microsoft Power BI, Azure, AWS, GCP, SFTP
Mill: Provides smart kitchen bins that recycle food waste.
5+ YOE5+ years operating production data engineering systems; Python, dbt/Airflow/Fivetran experience; strong SQL and cloud data warehouse skills; recommendation systems and CI/CD for data pipelines; collaborative communication.
Windfall: Provides consumer financial data and AI-driven go-to-market insights.
4+ YOE4-8 years in data engineering; experience with Apache Beam/Spark/Flink or MapReduce; JVM language proficiency; distributed data processing; experience at a small company; strong communication and ownership.
Braintrust: Platform for evaluating and monitoring AI model performance.
10+ YOE10+ years in data engineering or related roles; deep SQL, data modeling, pipelines, orchestration, and production-grade code; experience across telemetry, CRM, billing, and operational systems; strong communication and AI experience.
Federal Home Loan Bank of San Francisco: A cooperative bank providing liquidity and funding to member institutions.
3+ YOEBachelor's in CS or equivalent experience, 3+ years data management in regulated financial services, experience with data modeling, ETL/ELT, RDBMS and data lakehouse, APIs and SaaS integration, AWS and CI tooling.
Amazon Web Services (AWS), RDS, Glue Databrew, S3, Lake Formation, Bamboo, Chef, Jenkins, Oracle, PL/SQL, SQL, SAFe, Scrum, Windows, UNIX, Google Cloud, Microsoft Azure
OusterNASDAQ: OUST: Designs and manufactures high-resolution digital lidar sensors.
8+ YOE8+ years designing and validating scalable cloud data infrastructure and pipelines for large, unstructured multimodal sensor datasets; prototype-to-production experience; data quality, governance, and ML data tooling knowledge.
CrewAI: Platform for orchestrating collaborative multi-agent AI systems.
Experienced data engineer to own data platform, build pipelines, define trusted metrics, improve instrumentation, and make data self-serve for product and go-to-market teams.
xAI: Develops advanced artificial intelligence systems to understand the universe.
5+ YOEBA/BS required, 5+ years experience, strong SQL and database experience (Vertica/MySQL), Java (Spring/JEE/JSE) and Python proficiency, experience with Kafka/RabbitMQ, APIs (Salesforce/Workday), and Agile environments.