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Data Engineer Manager Jobs in Montana (NOW HIRING)

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Build and maintain automation for compaction, retention, lifecycle management, and cost controls

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Build and maintain automation for compaction, retention, lifecycle management, and cost controls

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving ... Build and maintain automation for compaction, retention, lifecycle management, and cost controls

Research Data Engineer

Bozeman, MT ยท On-site

$90K/yr

... manage data workflows and processing tasks. โ€ข Implement source code management and build tools ... Demonstrable mastery of the R programming language and applications for statistics, simulation, and ...

$92K - $116K/yr

Act as an analytical partner to Operations , Support Management , QA , and Training . * Work with Data Engineering to ensure clean, accurate, and well-modeled data pipelines. * Communicate findings ...

Project Manager - Data Center

Bozeman, MT ยท On-site

$126K/yr

Description CompuNet is seeking a Project Manager to join our Data Center Practice, an experienced team of Architects and Engineers who require project management support in their delivery of ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

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Data Engineer Manager information

See Montana salary details

$40.8K

$119.1K

$162.9K

How much do data engineer manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer manager in Montana is $119,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $126,200.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
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 Data Engineer Manager jobs in Montana? For Data Engineer Manager jobs in Montana, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Montana look for? The top searched job categories for Data Engineer Manager jobs in Montana are:
What cities in Montana are hiring for Data Engineer Manager jobs? Cities in Montana with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Montana as of June 2026, with employment types broken down into 1% As Needed, 53% Full Time, 41% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,060 per year, or $57.2 per hour.
Staff Data Engineer

Staff Data Engineer

onX

Bozeman, MT โ€ข On-site, Remote

Other

Medical, Retirement, PTO

Posted 21 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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