Rocky Mountain Elk Foundation · 1 day ago
Data Engineer
Missoula, MT
Full-time
Hybrid
Senior Level
5+ years expThe 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. The Data Engineer is responsible for designing, building, and maintaining RMEF’s data infrastructure and analytics platforms, ensuring data quality, governance, and accessibility across the organization.
AssociationCharityNon ProfitWildlife Conservation
Responsibilities
Design and implement enterprise data architecture, including data models and integration patterns, to establish a single source of truth for member and donor data
Implement and manage NetSuite Analytics Warehouse (NSAW) as the primary analytics platform for the organization
Develop and maintain high-value Power BI dashboards for leadership and operational teams to enable data-driven decision making
Design and build automated data integration pipelines (ETL/ELT) between NetSuite, M360suite, Klaviyo, and payment gateways
Define and document data governance policies, including metric definitions, data quality rules, and access controls
Monitor data pipeline performance, troubleshoot failures, and implement automated error handling to ensure system reliability
Investigate and resolve data quality incidents (e.g., duplicates, sync failures) and implement monitoring to detect anomalies
Enable self-service analytics by creating user-friendly data models and training staff on tools to reduce ad-hoc report requests
Ensure data handling practices comply with relevant regulations (e.g., PCI-DSS) and implement appropriate access controls
Serve as technical advisor to IT leadership data strategy, recommending technologies and best practices to advance organizational capabilities
Provide technical mentorship to IT staff on data-related topics
Perform other duties as required
Qualification
Required
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 NetSuite (SuiteAnalytics, 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.)
Expert-level SQL proficiency for complex queries, optimization, and database design
Strong understanding of data modeling (dimensional modeling, star schema, data vault, etc.)
Experience building production dashboards that non-technical users use (focus on usability, performance, and self-service enablement)
Experience with data integration tools (Fivetran, dbt, Talend, Azure Data Factory, or similar)
Proficiency with Power BI or similar BI platforms (DAX, data modeling, report design, user training)
Working knowledge of NetSuite data structures
Understanding of API design and RESTful web services for data integration
Familiarity with version control (Git) and CI/CD practices for data pipelines
Ability to translate business requirements into technical data solutions that stakeholders can use
Strong analytical thinking and problem-solving skills
Experience delivering dashboards to executives and business users
Understanding of membership, fundraising, and nonprofit operations data models
Ability to explain technical concepts to non-technical stakeholders
Focus on customer building dashboards and analytics that stakeholders need and will be able to utilize
Ability to be accountable taking responsible for end-to-end data quality, pipeline health, and user satisfaction
Ability to maintain high quality standards and ensure data is accurate, timely, and trustworthy. Ninety-five percent+ data quality is the baseline
Ability to deliver working solutions and measurable outcomes. Ship dashboards that reduce the burden of ad-hoc requests
Knowledge and support of RMEF's mission, goals, and activities
Preferred
Familiarity with nonprofit membership and fundraising data models
Experience with cloud data platforms (Snowflake, Redshift, BigQuery, 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 SnowPro)
Company
Rocky Mountain Elk Foundation
Rocky Mountain Elk Foundation is a wildlife conservation organization that focuses on wild elk and their habitat.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
R. Kyle Weaver
President and CEO
Shane Cronk
Chief Financial Officer
Recent News
2025-08-08
2024-12-04
Wyoming Tribune Eagle
2024-11-21
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