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Staff Data EngineerONX, Inc. • United States
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Staff Data Engineer

ONX, Inc.
  • US
    United States
  • US
    United States
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Über

Staff Data Engineer
Bozeman, Montana, United States About onX
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. About This Role
The Staff Data Engineer is a senior leader responsible for designing and evolving core components of onX's lakehouse and data platform. This role focuses on how data is structured, governed, secured, and described so that analytics, product features, and AI systems can operate reliably at scale. This engineer operates at the intersection of data architecture, metadata, governance, and security, leading complex initiatives and setting technical direction within the Data Engineering organization. They are a trusted technical partner to Product, Analytics, Data Science, Security, and Platform teams, and serve as a force multiplier for other engineers through high-level technical guidance and active mentorship. As an onX Data Engineer, Your Day to Day Responsibilities Would Look Like:
Technical Leadership & Architecture
Design and evolve the Iceberg-based lakehouse architecture to balance scalability, cost, performance, and maintainability. Define and promote standards for table design, partitioning, schema evolution, optimization, and data layout. Lead architectural efforts spanning batch, streaming, and event-driven data processing where they deliver business value. Drive the design and delivery of complex, cross-team initiatives, enabling teams to move independently within established architectural guidance. Build vs. Buy: Evaluate and integrate technologies. Metadata, Governance & Open Standards
Define how datasets, pipelines, features, and models are described, related, and governed using shared metadata. Lead the adoption and integration of open-source metadata and catalog tools (e.g., OpenMetadata or similar ecosystems). Establish metadata standards that enable self-service analytics, governance, and AI readiness. Partner with BI and Analytics to ensure domain models are clearly documented and aligned to business language. Collaborate with Data Science to ensure model inputs, features, and outputs are traceable, explainable, and reusable. Security, Access Control & Compliance
Design and evolve security and access-control models for Apache Iceberg, including table-, column-, and row-level controls. Partner with Security and Platform teams to embed policy enforcement directly into data access paths. Drive metadata-driven authorization patterns that scale across tools and user groups. Ensure privacy, compliance, and regulatory requirements are incorporated into platform design. Balance strong security guarantees with usability to support safe self-service. Platform Reliability & Operations
Build and maintain automation for compaction, retention, lifecycle management, and cost controls. Establish observability standards that connect pipeline health, data quality, and reliability metrics. Provide architectural oversight during critical incidents and drive long-term 'Keep the Lights On' (KTLO) reduction. Recommend tooling and process improvements based on industry standards and operational experience. Organizational Impact & Collaboration
Align technical work with business priorities by understanding how data supports onX products and customer outcomes. Communicate complex technical concepts clearly to engineers, product partners, and leadership. Lead and participate in architecture and design reviews, setting a high bar for technical rigor. Foster strong cross-team collaboration across Data Engineering, Platform, Security, Analytics, and Data Science. Mentor senior and mid-level engineers, raising the technical bar across the team. Location
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 Seattle, WA. Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont. What You'll Bring
Required
Bachelor's degree in Computer Science or equivalent experience. Deep industry experience (typically 12+ years) building and operating large-scale data systems. Deep expertise in distributed data systems and data architecture. Strong experience with Apache Iceberg and similar table formats (Delta Lake, Hudi). Proven experience designing secure and governed data platforms. Expertise in Python, SQL, and orchestration patterns (e.g., Airflow). Experience working with data ecosystems, including metadata, catalog, or governance tooling. Strong written and verbal communication skills. Permanent U.S. work authorization. Cloud & Platform Experience
Deep experience in at least one major cloud environment (GCP, AWS, or Azure). Familiarity with cloud-native data services such as query engines, stream/batch processing systems, and object storage–based lakehouses. Comfort with infrastructure-as-code and automated platform management. Compensation
onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $175,000 to $218,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance. What We Are Offering You
Competitive salaries, annual bonuses, equity, and opportunities for growth Comprehensive health benefits including a no-monthly-cost medical plan Parental leave plan of 5 or 13 weeks fully paid 401k matching at 100% for the first 3% you save and 50% from 3-5% Company-wide outdoor adventures and amazing outdoor industry perks Annual "Get Out, Get Active" funds to fuel your active lifestyle in and outside of the gym Flexible time away package that includes PTO, STO, VTO, and 7 paid holidays annually
  • United States

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  • English
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