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Senior Data Engineer Jobs in Montana (NOW HIRING)

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 ...

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 ...

Staff Data Engineer - Bozeman

Bozeman, MT ยท On-site

$175 - $218/hr

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 ...

Sr. Engineer - CE

Billings, MT ยท On-site

$102K - $141K/yr

Keystone Engineering is currently seeking a Sr. Civil Engineer to join our team as we expand into ... Familiarity with reviewing Seismic data as it relates to damage indexes. * Review and edit ...

Sr. Engineer - ME

Billings, MT ยท On-site

$102K - $141K/yr

Keystone Engineering is currently seeking a Sr. Mechanical Engineer to join our team as we expand ... Review or prepare specifications detailing performance requirements, design data, applicable codes ...

Senior Power Engineer

Helena, MT ยท On-site

$100K - $139K/yr

Senior Power Engineer ID: 1091 Location: Helena, MT. Department: Engineering More about this job ... Travel to client/customer sites for data collection and to lead startup and commissioning ...

... APIs, data services, containers, automated delivery pipelines, infrastructure automation, and ... Demonstrated ability to lead architecture decisions, mentor senior engineers, coordinate complex ...

Senior NPI Test Engineer

Bozeman, MT ยท On-site

$135K - $216K/yr

A successful candidate is data-driven, excels at complex problem solving, has a strong engineering ... Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced ...

Senior NPI Test Engineer

Bozeman, MT ยท On-site

$135 - $216/hr

A successful candidate is data-driven, excels at complex problem solving, has a strong engineering ... Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced ...

New

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Senior level engineering professional providing technical direction required for production and ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Senior level engineering professional providing technical direction required for production and ...

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Senior Data Engineer information

See Montana salary details

$74.3K

$116K

$160.6K

How much do senior data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data engineer in Montana is $115,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Montana?

The most popular types of Data Engineer jobs in Montana are:

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

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

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

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

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

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

What are popular job titles related to Senior Data Engineer jobs in MT?

For Senior Data Engineer jobs in MT, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Montana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $115,950 per year, or $55.7 per hour.

Staff Data Engineer

onX

Bozeman, MT โ€ข On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 27 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."ย 

  • 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. ย 
    • 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.ย 
  • Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members.ย 
    • 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 planย 
  • 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.ย 

Position open until filled.ย 

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