Data Engineer II

We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.

We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.

Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.

We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.

Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.

The Data Engineer II plays a key role in building and evolving the onX Lakehouse. This role focuses on creating reliable, well‑modeled data products on Google Cloud while improving how data is described, governed, discovered, and trusted across the organization.

You will balance hands‑on pipeline development with thoughtful design around schemas, metadata, and operational health. This is a role for engineers who think beyond moving data from A to B and care deeply about how data is understood, reused, and scaled in a modern analytics and AI‑driven ecosystem.

• Build and maintain production‑grade data pipelines that land and organize data into Apache Iceberg tables on Google Cloud.
• Apply best practices for data modeling, partitioning, and table design to support analytics, BI, and emerging AI use cases.
• Evolve existing pipelines while maintaining platform stability and reliability.

• Design clear, consistent schemas with an emphasis on usability, longevity, and downstream consumption.
• Implement data quality checks and validation patterns to ensure datasets are accurate, timely, and trustworthy.
• Make intentional tradeoffs between flexibility and structure as data products mature.

• Enrich datasets with meaningful metadata, ownership, lineage, and freshness signals.
• Partner in building a shared data catalog experience that helps users understand what data exists, what it means, and how it should be used.
• Treat metadata as a first‑class asset alongside the data itself.

• Work closely with Business Intelligence and analytics partners to build curated domain datasets aligned with shared definitions and business logic.
• Collaborate with platform, analytics, and governance stakeholders to improve data consistency across domains.

• Monitor pipeline performance, cost, and data freshness.
• Participate in incident response, root cause analysis, and continuous improvement of reliability (KTLO).
• Contribute to standards, patterns, and documentation that scale beyond individual pipelines.

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub.”

• Corporate Offices
  : onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
• Basecamps
  :
  Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.
  • Our current Basecamps are located within a 90‑mile radius of the following:
    Austin, TX;
    Charlotte, NC;
    Denver, CO;
    Kalispell, MT;
    Minneapolis, MN;
    Portland, OR;
    Salt Lake City, UT; and…