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Remote Data Platform Engineer Jobs in Montana (NOW HIRING)

In-office, Hybrid, or Remote Role Overview The Paid Social Manager is a strategic and execution ... Manage client expectations with transparency and data-backed insights Cross-Platform Collaboration

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Tableau, or another data visualization software. * Familiarity of SQL, or other programming ...

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Tableau, or another data visualization software. * Familiarity of SQL, or other programming ...

$16 - $20.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Tableau, or another data visualization software. * Familiarity of SQL, or other programming ...

Showing results 41-60

Remote Data Platform Engineer information

See Montana salary details

$40.8K

$119.1K

$162.9K

How much do remote data platform engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data platform engineer 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 remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

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

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

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

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

What cities in Montana are hiring for Remote Data Platform Engineer jobs?

Cities in Montana with the most Remote Data Platform Engineer job openings:

Software Developer

Rocky Mountain Elk Foundation

Missoula, MT โ€ข On-site, Remote

Full-time

Posted 6 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.