Data Engineer

DATA ENGINEER

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 9.1 million acres, including improving public access to 1.6 million acres.

Our impact will extend to 10 million acres by 2030.

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 9.1 million acres, including improving public access to 1.6 million acres.

Our impact will extend to 10 million acres by 2030. RMEF is proud of our conservation successes and is committed to making an even larger impact in the future. We are seeking a Data Engineer to transform how RMEF leverages data (working closely with IT leadership and business stakeholders) – moving from ad-hoc reporting and manual data extraction to self-service analytics and automated data pipelines.

The Data Engineer will establish a centralized data foundation that serves as the single source of truth for membership, fundraising, and operational data, reducing conflicting reports and improving organizational efficiency. This is an exciting opportunity for IT professional to apply their expertise in a dynamic, mission-focused environment.

• Bachelor’s degree in computer science, Information Systems, Data Science, or a related field, OR equivalent combination of education and data engineering experience.
• Five plus years of experience in data engineering, data architecture, or analytics engineering roles.
• Proven experience building and deploying production dashboards and analytics solutions for business users.
• Experience with Net Suite (Suite Analytics, saved searches, data model) or similar ERP systems (must understand complex transactional databases).
• Strong SQL skills and experience with relational database design.
• Experience with ETL/ELT tools and data integration patterns.
• Demonstrated ability to translate business requirements into dashboards and self-service analytics (Power BI, Tableau, Looker, etc.).

• Familiarity with nonprofit membership and fundraising data models.
• Experience with cloud data platforms (Snowflake, Redshift, Big Query, or Azure Synapse).
• Knowledge of Python or similar scripting languages for data processing.
• Experience with data governance frameworks and master data management (MDM).
• Professional certifications (e.g., AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer, Snowflake Snow Pro).

As RMEF continues to modernize its data infrastructure, the Data Engineer will be expected to support and integrate emerging technologies, including future ERP, CRM, or analytics platforms adopted by the organization.

This is a full-time, remote position. Travel to RMEF headquarters in Missoula, Montana will be required for training sessions, team meetings, and other business needs as determined by the organization.

The Data Engineer is responsible for designing, building, and maintaining Rocky Mountain Elk Foundation’s (RMEF) data infrastructure and analytics platforms. This role serves as the technical owner of data architecture, ensuring data quality, governance, and accessibility across the organization. The Data Engineer will implement and manage analytic platforms and data…