Copy of Staff Data Engineer

Drata; San Francisco (CA); Hybrid; USD 165,000 - 270,000; Full time

Benefits offered by this job

Stock equity

Health & Wellness

401(k) plan

Parental Leave

Professional development stipends

Flexible vacation

Job summary

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 integrity and ownership.

Drata is seeking a Staff Data Engineer to join a growing data team and help scale data products, governance, and self-serve analytics across the organization. You’ll work with modern tech to collect, store, transform, and model data, enabling faster

Qualifications

• 8+ years experience as a Data Engineer.
• Experience in Change Data Capture (CDC).
• Fluent in writing analytical SQL and complex queries.
• Fluent in Python.
• Experience with Stitch/Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker/Mode/Sigma, Hightouch/Census.
• Clear, concise communicator who works well with others.
• Ability to explain complex data flows to non-technical people.
• Experience building with AI to production.
• Bonus: ML/AI pipeline experience.
• Curious, investigative mindset.
• Thrive in fast, high-growth startup.

Responsibilities

• Automate first and build data products for analytics, product, engineering and ML/AI models.
• Optimize query performance, data ingestion and processing time.
• Contribute to data modeling layer and data governance processes.
• Build data engineering training and documentation for analysts.
• Interview, hire and train future data engineers.
• Manage data orchestration with ETL/ELT/Reverse ETL.

Skills

Data Engineering

CDC

Analytical SQL

Python

Communication

AI in prod

Tools

Stitch/Fivetran

Snowflake

dbt

Airflow

Airbyte

Looker/Mode/Sigma

Hightouch/Census

Job description

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. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level.

• Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience.

• A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates.

Job Summary:

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.

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/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.

What you’ll bring:

• 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.

• Bonus: experienced with building ML/AI 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.

The expected base salary range for this role is between $165,000–$270,000and is listed to provide transparency. Actual base pay will vary based on multiple factors — market location, job-related knowledge, skills, experience, and overall alignment to the role.

Candidates shouldn't expect automatic placement at any particular point within the range. Offer amounts are determined by the qualifications each candidate brings to the position. Total compensation may also include equity designed to provide meaningful ownership in the company, as well as health and wellbeing benefits.