4 etl developer and engineer jobs at 4 companies in Sonoma, CA
1mo
Save
Mark Applied
Hide
1mo
Dashboard and Report Developer
Woodland, California, United States
$75k-$100k/yrOnsiteFull Time
The Morning Star Company: Supplies bulk tomato ingredients to global food manufacturers.
1+ YOEOnsite role requiring 1+ years experience developing dashboards with Microsoft PowerBI and MS SQL coding, experience with SSRS/SSMS, ETL/data warehouse design, US work authorization required.
Microsoft PowerBI, SQL Server Reporting Services (SSRS), Microsoft SQL Server Management Studio (SSMS), Microsoft Business Intelligence, Microsoft Fabric, Lakehouse, Notebook, Semantic Modeling, SQL, SQL Server Integration Services (SSIS), Analysis Services (SSAS)
Senior Quality Engineer, Performance and Analytics
New York City or Reno or San Ramon
$114k-$142k/yrHybridFull Time
Ridgeline: Cloud-native platform for investment management operations.
5+ YOE5+ years in quality engineering for SaaS; experience validating performance analytics (TWR, Brinson, P&L), APIs, databases, cloud platforms, automated testing, and collaborating with product and engineering teams. Must be U.S. work authorized.
Claude Code, Cursor, GitHub Copilot, ChatGPT, SQL, OLAP, Columnar, AWS, Azure, Google Cloud, APIs, databases, ETL
Senior Staff Data Engineer - Platform Data and Analytics
San Francisco or Waterloo or Toronto or London or New York City
$268k-$369k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
Technical leader with strong SQL and Python, experience building and operating ETL/ELT, streaming, orchestration, and petabyte-scale data warehousing; experience with Snowflake, Airflow, Spark; bachelor's degree or equivalent experience.
Data Engineer Self Service Analytics and Real Time Data Platforms (Burbank, CA, US, 91505)
Burbank or San Francisco
$99k-$147k/yrOnsiteFull Time
ParamountNASDAQ: PSKY: Produces and distributes media content across global entertainment platforms.
2+ YOE2+ years data engineering experience building ETL/ELT and streaming pipelines; expert SQL, Python, Spark; experience with Airflow/Composer, Kafka or Pub/Sub, GCP and BI/semantic layers; BS/MS in CS/Engineering or equivalent.