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Data Bi Engineer Jobs in Montana (NOW HIRING)

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Partner with BI and Analytics to ensure domain models are clearly documented and aligned to ...

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Partner with BI and Analytics to ensure domain models are clearly documented and aligned to ...

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Partner with BI and Analytics to ensure domain models are clearly documented and aligned to ...

Mine Engineer - USA

Cameron, MT · On-site

$90K - $115K/yr

They will maintain and analyze data from the site's technology systems * They will provide survey ... Responsible for bi-yearly ore stockpile inventory surveys and reports. * Participates in corporate ...

Keystone Engineering Inc. opened for business in 1988 and for decades, has been a reliable provider ... Experience with Power BI for data reporting and dashboard creation What We Offer * Competitive ...

senior java developer

Montana City, MT · On-site

$54.25 - $69/hr

... bi-weekly Sprint end review and retrospect meetings. Played Scrum poker to properly assess the ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

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Data Bi Engineer information

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What are popular job titles related to Data Bi Engineer jobs in Montana?

For Data Bi Engineer jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Data Bi Engineer jobs in Montana look for?

The top searched job categories for Data Bi Engineer jobs in Montana are:

What cities in Montana are hiring for Data Bi Engineer jobs?

Cities in Montana with the most Data Bi Engineer job openings:

Staff Data Engineer

onX

Bozeman, MT • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago


Job description

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 BRINGRequired
  • 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
PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PS@onxmaps.com. 

Position open until filled. 

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