Staff Data Engineer

Drata

United States

Remote

USD 140,000 - 200,000

Full time

11 days ago
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Job summary

Drata is seeking a Staff Data Engineer to join our growing data team in a fast-moving, data-driven B2B SaaS startup. Lead initiatives to build scalable data products, empower self-serve analytics, and partner with product and engineering to enable data-driven decisions.

You will own and optimize data pipelines, contribute to data modeling, and help establish robust data governance practices across the organization.

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

Job description

Why Join the Drata Team?

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.

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
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