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Salary analysis
Compared with the selected benchmark ("All roles in San Francisco, United States"), this listing's salary midpoint is about 35% higher. The offer sits above the benchmark range (€8,681–€13,311). The listed pay band (€12,583–€17,108) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,125/per month | €7,000/per month |
| All roles in San Francisco, United States | €8,681/per month | €10,996/per month | €13,311/per month |
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. Job Summary: Drata is looking for a Senior 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. At Drata, we’re on a mission to help build trust across the internet! Data accuracy is an essential cornerstone of our mission. We are looking for a senior data engineer that can help us strategize and execute our data engineering vision. We’re looking for someone who enjoys building data products at scale. We are building out a first-class data department composed of Data Engineers, Software Engineers, Analytics Engineers, Data Analysts, and Data Scientists. We ensure all teams at Drata can easily self-serve the data and report they need to drive their projects and make decisions. If you’re excited to work on a fast-moving team using cutting-edge technologies to collect, store, transform, analyze, and model data, we want to meet you. What you’ll do: - Automate first! One of our core company values is automation. - Help us build data products that will serve analytics needs, product and engineering services and ML 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. - Interview, hire and train future data engineers - Administrate data orchestration through modern tools concepts such as ETL, ELT, Reverse ETL etc. What you’ll bring: - You have 5+ 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 - Fluent in Python - You have experience with some of the following platforms Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker/Mode/Sigma, Hightouch/Cencus - You are a clear, concise communicator that works well with others - You can explain complex data flows, datasets or queries to non-technical people in understandable ways - Bonus: experienced with building ML pipelines - You have a natural curiosity and investigative mindset - You want to work in a fast, high-growth startup environment and thrive on both autonomy and collaboration How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata - Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective success. - Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance. - Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position. - Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. - Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. - Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge.
Job Details
Responsibilities
- Automate first
- Build data products serving analytics needs
- Optimize query performance, data ingestion and processing
- Contribute to data modeling layer
- Build data governance processes
- Create training and documentation for analysts
- Interview, hire and train future data engineers
- Administrate data orchestration using ETL/ELT/Reverse ETL
Requirements
- 5+ years experience as a Data Engineer
- Fluent in Python
- Fluent in SQL and able to write complex queries
- Experience with Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker/Mode/Sigma, Hightouch/Cencus
- Clear, concise communicator
- Able to explain complex data flows to non-technical people
- Bonus: ML pipelines
- Curious and investigative mindset
- Able to thrive in a fast-growth startup environment
Skills & Technologies

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