Drata
Senior Data Engineer, Reporting & Analytics
California · Senior
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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.
Requirements
- You have experience with some of the following platforms Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker/Mode/Sigma, Hightouch/Cencus
- You have 5+ years experience as a Data Engineer
- You have a natural curiosity and investigative mindset
- 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 are a clear, concise communicator that works well with others
Skills
- Administrate data orchestration through modern tools concepts such as ETL, ELT, Reverse ETL etc.
Compensation
- $151,700 -$205,300.
- A variety of factors are considered when determining someone's leveling and compensation-including a candidate's professional background and experience.
Benefits
- 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
Company info
- 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.