Data Engineer II

onX • Bozeman, MT

8h • $103,000 - $115,000 • Remote

About The Position

As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other onXers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences.
Through multiple years of growth, we haven’t lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we’re hungry to improve, value innovation, and believe great ideas come from any direction.
Important Alert: Please note, onXmaps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
ABOUT THIS ROLE
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.

Requirements

• Strong foundations in data engineering with 2+ years of experience building and operating data pipelines in production.
• Proficiency in Python and SQL, with the ability to write clear, maintainable, and testable code.
• Hands-on experience with Google Cloud data services (e.g., BigQuery, Composer/Airflow, Dataflow, or equivalent).
• Experience working with modern table formats or lakehouse concepts, such as Apache Iceberg or similar.
• Comfort with software engineering best practices, including Git-based workflows, peer code reviews, and CI/CD.
• A systems-level mindset that considers data modeling, metadata, cost, performance, and downstream consumers—not just pipeline execution.
• Conceptual understanding of metadata, lineage, and governance, and why they matter in scalable analytics and AI-driven environments.
• Curiosity about where data platforms are headed, including how AI systems rely on well-described, well-governed data to understand enterprise context.
• Strong collaboration skills, with the ability to translate between technical implementation and business meaning.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed