Data Platform & Analytics Engineer

<p><strong>Data Platform &amp; Analytics Engineer</strong></p> <p><strong>Base Salary: </strong>$140,000–$170,000</p> <p><strong>Location:&nbsp;</strong>West Coast, USA</p> <p><strong>Work model:&nbsp;</strong>In-person. This person must be able to work onsite in either Seattle, WA, Denver, CO, or Minneapolis, MN.&nbsp;</p> <p><strong>Travel Requirements: </strong>10–15% - travel to our clinic partners is required.&nbsp;</p> <p><strong>Reports to: </strong>Vice President, Technology</p> <p><strong>Job Summary</strong></p> <p>Indigenous Pact is seeking a talented and experienced Data Platform &amp; Analytics Engineer who is passionate about building scalable data solutions and transforming complex data into trusted, actionable information. The Data Platform &amp; Analytics Engineer designs, builds, operates, and continuously improves the organization's data platform and analytics infrastructure. This role develops and maintains data pipelines, integrations, Azure Databricks solutions, data models, and analytics-ready datasets that enable reporting, business intelligence, and data-driven decision-making. The role also administers platform security, operations, and governance.</p> <p>Serving as a bridge between application development and business intelligence, the Data Platform &amp; Analytics Engineer ensures that data is trusted, accessible, secure, and scalable for enterprise use. The role collaborates closely with Full Stack Developers, BI Analysts, and business stakeholders to create reliable data products that support operational excellence, strategic planning, and organizational growth.</p> <p><strong>Essential Job Functions</strong></p> <ul> <li>Design, develop, and maintain data pipelines, integrations, and automated data workflows</li> <li>Build and support data lake, data warehouse, Databricks, and analytics platform solutions</li> <li>Develop, optimize, and maintain ETL/ELT processes to ingest, transform, and organize data from internal and external systems</li> <li>Create and maintain analytics-ready datasets, semantic models, and data structures optimized for Power BI consumption, in collaboration with BI Analysts on semantic model design</li> <li>Develop and maintain data transformation workflows using SQL, Python, Databricks, and other modern data platform tools</li> <li>Own operational health of the data platform, including monitoring, alerting, incident response, and continuous reliability improvements</li> <li>Implement data validation, testing, reconciliation, and monitoring processes to ensure data accuracy and integrity</li> <li>Develop and maintain technical documentation, data dictio