Data Analytics Engineer

Full-time | Boulder, CO | No visa sponsorship available

The US Analytics team is building the data foundations that power US operations. We design reliable data models, keep our infrastructure clean, and turn complex datasets into insights the business can act on. You'll join at a point where there's real work to own — from shaping how data is structured to improving the tools and dashboards that teams rely on every day.

What you'll do

• Build, maintain, and document DBT models in a Snowflake environment, keeping data clean, reliable, and well-structured
• Develop and maintain Tableau dashboards and data sources that stakeholders across the business trust and use independently
• Rotate through day-to-day data operations support — handling ad hoc requests, troubleshooting reporting issues, and diagnosing pipeline problems
• Contribute to modernizing our data infrastructure, helping business stakeholders self-serve through AI-assisted tooling
• Own stakeholder relationships independently — gathering requirements, setting clear expectations, and communicating confidently with technical and non-technical audiences alike

You'll be great for this role if…

• Strong experience building or structuring datasets — not just querying them based on others work
• Solid SQL, DBT Core skills, hands-on experience with Snowflake
• Proven ability to build Tableau dashboards that stakeholders genuinely rely on
• Strong communicator who can own stakeholder conversations, gather requirements, manage expectations, and push back when a request isn't clearly defined
• High attention to data quality and the confidence to work through problems independently before escalating
• Familiarity with AI-assisted data tools such as GitHub Copilot or Cursor
• Familiarity with Salesforce

Bonus points for

• Advanced DBT experience
• Experience with self-serve or semantic data layers
• Contributions to an AI agent knowledge base or prompt engineering work
• Understanding of the limitations of LLMs when applied to data problems
• Previous experience in a fast paced, team environment

Why you should join

• Opportunity to work on large-scale fintech products used by millions of businesses worldwide, from the Boulder office in an office-first setup
• Enrollment onto the Virtual Stock Option program
• A dedicated annual learning budget of $2,000 for individual development
• Generous time off: 22 days of paid vacation, plus an extra day each year up to 28 days, public holidays, and special leaves
• Health and life coverage: group medical coverage, plus life insurance
• 401(k) retirement scheme with matching funds
• 1-month sabbatical after 3 years of service
• Commitment to Diversity and Inclusion

Compensation

• $100,000–$120,000 base salary
• Final compensation will be based on the candidate's experience and location