Drata
Staff Data Engineer
Hybrid - San Francisco · Staff+
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About the role
- Drata is looking for a Staff Data Engineer!
- This person will be a key member of the growing data team, supporting one of the fastest growing B2B SaaS startups to achieve unicorn status.
- Data accuracy is an essential cornerstone of our mission.
Responsibilities
- Help us build data products that will serve analytics needs, product and engineering services and ML/AI models
- Optimize query performance, data ingestion and processing time
- Contribute to building the data modeling layer
- Build strong data governance processes
- Build solid data engineering training and documentation for all analysts so they can learn how to use, move and transform data with minimum data engineering assistance.
Requirements
- You have experience with some of the following platforms Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker/Mode/Sigma, Hightouch/Cencus
- You have 8+ years experience as a Data Engineer
- You are fluent in writing analytical SQL, are able to write complex queries with no assistance, understand the difference between SQL that works and performant SQL
Skills
- Administrate data orchestration through modern tools concepts such as ETL, ELT, Reverse ETL etc.
Compensation
- Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth.
Company info
- Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale.
- We're Dratanauts:
- a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from.
- Why Join the Drata Team?
- At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies.
- Here's what makes the work itself worth showing up for:
- Problems without a playbook:
- You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet.
- You're writing it as you go.
- Real ownership, not just process:
- Our values center on owning outcomes and raising the bar, not checking boxes.
- You're expected to have opinions and back them.
- A seat at the table:
- Your perspective is unique and valued.
This listing is sourced directly from Drata's careers page and normalized into a canonical job model.