Data Engineer

At our core, we’re a data-driven SaaS company. But to get to the next level, we need to evolve. We're looking for an experienced Data Engineer who has scaled a company's data maturity before and is ready to do it again.

This isn't a role for maintaining legacy systems. This is a unique opportunity to take the lead on a significant data re-architecture project. You will have the autonomy and trust to make critical architectural decisions, laying the technical foundation that will empower our entire business—from product and analytics to customer intelligence and growth. If you are motivated by high-impact work and the challenge of building a best-in-class, scalable data platform from the ground up, we want to talk to you.

Your Experience & Technical Craft:

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• You have 4-6+ years of professional experience as a Senior or Lead Data Engineer, defined by successfully leading at least one significant data re-architecture project.
  
• You possess deep expertise in SQL and Python and apply data engineering best practices as second nature (testing, version control, CI/CD).
  
• You have strong, hands-on experience building scalable data pipelines in a modern cloud environment, using tools like dbt, AWS Glue, AWS Lake Formation, Apache Spark, and Amazon Redshift.
  
• You have a firm grasp of data modeling, ELT design patterns, data governance, and security best practices.
  

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• You are driven by autonomy and thrive when given the freedom to solve complex, ambiguous problems. You are frustrated by inefficiency and micromanagement.
  
• You are a natural communicator who builds strong relationships, consults with stakeholders, and ensures everyone is aligned before moving forward.
  
• You have a hybrid work style: highly collaborative when framing a problem, but disciplined and independent when building the solution.
  
• You are genuinely geeky about data, best practices, and new tooling. You are described by others as solution-oriented, proactive, and approachable.
  
• You see constructive feedback as a vital opportunity for growth.
  

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• Our data pipelines are highly expandable and reliable, enabling the efficient development of new data products.
  
• Teams across the company can easily access accurate, trustworthy data to make better decisions and drive growth.
  
• Data is well-documented, discoverable, and monitored, reducing duplication and confusion.
  
• You’ve become a trusted partner to both technical and non-technical teams, helping them unlock value from data.
  

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• Exposure to reverse ETL tools like Census.
  
• Knowledge of data privacy regulations (e.g., GDPR, ISO 27001).
  
• Experience with customer-facing analytics features in a multi-tenant SaaS product.
  
• Experience building data pipelines to support AI and machine learning use cases.
  

We’re a team of curious, driven people working together to secure the web. Our culture is our superpower—collaborative, human, and focused on meaningful work.

Read more about our culture and values on our Careers page.