Drata
Senior Data Engineer, Reporting & Analytics
Hybrid - San Francisco · Senior
Sponsorship not specified$152k-$205kDetected 56 days ago
PythonSQLSnowflakeRESTMachine LearningAirflowdbtData EngineeringData VisualizationCollaboration
About the role
- 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.
- 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 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.
- We're looking for someone who enjoys building data products at scale.
Requirements
- 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
- 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
Nice to have
- 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
Skills
- Administrate data orchestration through modern tools concepts such as ETL, ELT, Reverse ETL etc.
Compensation
- A variety of factors are considered when determining someone's leveling and compensation-including a candidate's professional background and experience.
- This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs).
- $151,700 -$205,300.
Benefits
- 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.
- 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.
- We are looking for a senior data engineer that can help us strategize and execute our data engineering vision.
- Bonus: experienced with building ML pipelines
- Drata offers a flexible vacation policy, paid holidays, and other perks to recharge.
Company info
- Hear the Voice of the Team https://drata.com/about/life-at-drata: Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available.
- Experience the Impact https://www.greatplacetowork.com/certified-company/7044563: See why we are consistently recognized on Fortune's Best Workplaces lists.
- LinkedIn https://www.linkedin.com/company/drata/posts/?feedView=all - follow us for company updates, employee stories, and career news.
- 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.
- We are building out a first-class data department composed of Data Engineers, Software Engineers, Analytics Engineers, Data Analysts, and Data Scientists.
- Automate first! One of our core company values is automation.
This listing is sourced directly from Drata's careers page and normalized into a canonical job model.