Staff Data Engineer
About The Position
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. 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.
Requirements
- You have 8+ years experience as a Data Engineer
- Experience in Change Data Capture (CDC)
- 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
- Experience building with AI to production.
- 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
Nice To Haves
- Bonus: experienced with building ML/AI pipelines
Responsibilities
- 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/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.
- Interview, hire and train future data engineers
- Administrate data orchestration through modern tools concepts such as ETL, ELT, Reverse ETL etc.
Benefits
- Stock equity
- Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents
- Comprehensive wellness benefits and healthcare concierge services
- 401(k) plan
- Company-paid life and disability insurance
- Tax-advantaged spending accounts
- Discounted voluntary offerings
- Paid Parental Leave policy, after six months of employment
- Kindbody fertility and family-building benefits
- Dedicated leave specialists
- Generous annual stipends for both professional and personal development
- Wide range of internal learning opportunities
- Flexible vacation policy
- Paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
