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Software Engineer Data Analyst Jobs in Montana (NOW HIRING)

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Technical Architect - Data, Analytics & AI

Billings, MT · Hybrid

$62.75 - $80.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

$35.12 - $47.04/hr

... programming; testing, building, and supporting system integrations; and establish and maintain ... Data needed for moving to or from a software solution, building inquiry copies of data to support ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Strong analytical and collaboration skills, with a desire to work in a regulated, quality-driven ...

Systems Analyst

Billings, MT · On-site

$35.12 - $42.66/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... programming; testing, building, and supporting system integrations; and establish and maintain ... Data needed for moving to or from a software solution, building inquiry copies of data to support ...

Traffic Analyst

Billings, MT · On-site

$32.76 - $43.87/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineering projects. Traffic Data * Enter and archive data for departmental records. * Maintain integrity of traffic records database and proprietary analysis software, including translation of ...

$32.76 - $43.87/hr

... to engineering projects. Traffic Data Enter and archive data for departmental records. Maintain integrity of traffic records database and proprietary analysis software, including translation of ...

Senior Data Scientist - Generative AI

Helena, MT · On-site

$118 - $162/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Growth Analytics & AI team. You will focus on building innovative, scalable, and reliable ... Hands‑on experience in MLOps, DevOps, or software engineering. * Demonstrated depth in machine ...

Showing results 41-60

Software Engineer Data Analyst information

See Montana salary details

$40.8K

$119.1K

$162.9K

How much do software engineer data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for software engineer data analyst 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 is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities in Montana are hiring for Software Engineer Data Analyst jobs?

Cities in Montana with the most Software Engineer Data Analyst job openings:

Software Developer

Rocky Mountain Elk Foundation

Missoula, MT • On-site, Remote

Full-time

Posted 5 days ago


Job description

Job Type
Full-time
Description
Software Developer
The Rocky Mountain Elk Foundation (RMEF) is a mission-driven non-profit dedicated to ensuring the future of elk, other wildlife, their habitat and our hunting heritage. Since our founding in 1984, we have helped conserve nearly one square mile of elk country every day. In partnership with others, we have conserved or enhanced more than 9.2 million acres, including improving public access to 1.6 million acres. Our impact will extend to 10 million acres by 2030.
RMEF is seeking a Software Developer to apply their technical expertise in a mission-focused environment - this position analyzes, designs, develops, documents, maintains and supports custom software solutions and systems. Essential functions include:
  • Design, develop, document and support software solutions.
  • Develop and maintain integrations between custom applications and third-party systems (e.g. NetSuite, payment processors, marketing platforms).
  • Use AI-assisted development tools effectively and responsibly, including reviewing, testing, and correcting AI-generated code, and contributing to the team's shared AI context and conventions documentation.
  • Provide real time solutions for user problems.
  • Ensure continuous monitoring of problems and issues until they are resolved.
  • Work closely with staff and management to provide effective organization-wide solutions.
  • Work with IT staff and/or vendor support services to resolve application or system issues.
  • Document organizational processes as they relate to software solutions.
  • Work with IT staff to define and maintain application lifecycle and security.
  • Create custom reports based on customer requirements.

Location: This position may work from RMEF's Headquarters office in Missoula, Montana or remotely within the United States. This is a full-time position
Qualifications include:
  • Graduation from a college, university, or technical school with a degree in Computer Science, Information Systems, or equivalent professional experience
  • Credentials and certifications on programming, operating systems, and other additional technical expertise.
  • Strong customer service skills
  • Demonstrated experience using AI-assisted software development
  • Design, develop and maintain systems and applications using technologies including: SQL / SQL Server, C#, .NET (Framework 4.x and modern .NET), .NET MVC Framework, Entity Framework (including code-first migrations), Front-end JavaScript, Git Version Control, Azure DevOps (Boards, Repos, Pipelines)
  • General technical skills include: Object Oriented Programming, Object Oriented Design Patterns (i.e. "Gang of Four" Design Patterns). Building and Using Web APIs, Database Design, Systems integration and data synchronization between applications

Knowledge, Skills, Abilities:
  • Knowledge and support of the RMEF's mission, goals, and activities.
  • Knowledge of the English language, spelling and writing.
  • Self-motivated and resourceful.
  • Ability to work in a cooperative team environment.
  • Excellent verbal and written communication skills.
  • Excellent problem-solving skills.
  • Experience in technical support.
  • Demonstrated ability and willingness to learn new technology quickly.
  • Extremely good customer service skills are essential. Ability to assess customer needs, provide follow-up, and resolve conflicts.
  • Demonstrated experience with AI-assisted software development, including: Daily use of AI coding tools (e.g. Claude Code, GitHub Copilot, or similar) as a core part of the development workflow; Reviewing, verifying, and correcting AI-generated code before it ships; Creating and maintaining AI context and conventions files (e.g. CLAUDE.md) so AI output follows team standards; Using AI tools for documentation and reporting
  • General technical skills include: Object Oriented Programming, Object Oriented Design Patterns (i.e. "Gang of Four" Design Patterns), Building and Using Web APIs, Database Design, Systems integration and data synchronization between applications
  • Design, develop and maintain systems and applications using technologies including: SQL / SQL Server, C#, .NET (Framework 4.x and modern .NET), .NET MVC Framework, Entity Framework (including code-first migrations), Front-end JavaScript. Git Version Control, Azure DevOps (Boards, Repos, Pipelines)
  • Have or develop a working knowledge of the following technologies: NetSuite (integrations and data flows), Azure PaaS (App Services, Azure SQL, Bicep/infrastructure-as-code), Payment processing systems (e.g. CyberSource), Marketing and communications platforms (e.g. Klaviyo), PHP, WordPress/WooCommerce, Jenkins and IIS deployment environments
  • Relational database report writing skills.
  • Functional accounting and business knowledge.
  • Experience with client/server environments.

Physical Demands: Can sit for long periods. Constant use of office equipment such as telephones, computers, and copy machines are necessary. Some light lifting and bending are also necessary. Work hours may vary including evenings and weekends.
The above is intended to describe the general content of and requirements for the performance of the job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.