onXmaps

Staff Data Engineer

Bozeman, Montana, United States · Staff+ · Full-time

Work authorization required$175k-$218kDetected 27 days ago

PythonSQLAWSGCPAzureCloud PlatformsAirflowData EngineeringData ScienceA/B TestingLeadershipCommunicationCollaborationProblem Solving

About the 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.

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.
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.
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.
Ensure privacy, compliance, and regulatory requirements are incorporated into platform design.
Balance strong security guarantees with usability to support safe self-service.

Bachelor's degree in Computer Science or equivalent experience.
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.
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.

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.
Competitive salaries, annual bonuses, equity, and opportunities for growth
401k matching at 100% for the first 3% you save and 50% from 3-5%

Establish observability standards that connect pipeline health, data quality, and reliability metrics.

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.

This listing is sourced directly from onXmaps's careers page and normalized into a canonical job model.