Data Platform & Analytics Engineer

Data Platform & Analytics Engineer

Base Salary: $140,000–$170,000

Location: West Coast, USA

Work model: In-person. This person must be able to work onsite in either Seattle, WA, Denver, CO, or Minneapolis, MN.

Travel Requirements: 10–15% - travel to our clinic partners is required.

Reports to: Vice President, Technology

Job Summary

Indigenous Pact is seeking a talented and experienced Data Platform & Analytics Engineer who is passionate about building scalable data solutions and transforming complex data into trusted, actionable information. The Data Platform & 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.

Serving as a bridge between application development and business intelligence, the Data Platform & 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.

Essential Job Functions

Design, develop, and maintain data pipelines, integrations, and automated data workflows

Build and support data lake, data warehouse, Databricks, and analytics platform solutions

Develop, optimize, and maintain ETL/ELT processes to ingest, transform, and organize data from internal and external systems

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

Develop and maintain data transformation workflows using SQL, Python, Databricks, and other modern data platform tools

Own operational health of the data platform, including monitoring, alerting, incident response, and continuous reliability improvements

Implement data validation, testing, reconciliation, and monitoring processes to ensure data accuracy and integrity

Develop and maintain technical documentation, data dictionaries, lineage documentation, and operational procedures

Collaborate with application developers, BI analysts, and business stakeholders to define data requirements and deliver data solutions

Establish and promote data engineering standards, best practices, and governance processes

Evaluate and recommend improvements to data architecture, tools, processes, and technologies

Administer database and data platform security, including access management, role-based permissions, and auditing of data access

Ensure data solutions comply with privacy, regulatory, and data governance requirements

Manage database and platform operations including backup, recovery, disaster recovery planning, and environment management

Monitor and optimize platform compute utilization and cost, including Databricks cluster configuration and workload efficiency

Implement data retention, archival, and cataloging policies

Participate in solution design, architecture reviews, and strategic data initiatives

Required Skills & Abilities

Technical Skills

Advanced SQL development and performance tuning

Strong understanding of relational databases, data warehousing, and dimensional modeling

Experience designing and supporting ETL/ELT pipelines and data integration solutions

Experience with cloud-based data platforms (Azure, AWS, or Google Cloud)

Experience with Azure Databricks, Apache Spark, or similar large-scale data processing platforms

Proficiency in Python or similar scripting language used for automation and data processing

Experience with API integrations, data exchange, and system interoperability

Knowledge of source control and software development practices (Git, CI/CD, DevOps)

Experience implementing data quality, testing, monitoring, and observability practices

Experience with database administration functions, including security administration, performance monitoring, capacity planning, and backup/recovery

Experience designing datasets that support Power BI or similar enterprise BI platforms

Experience with data orchestration and workflow scheduling tools (e.g., Databricks Workflows, Azure Data Factory)

Analytics & Business Skills

Understanding of business intelligence and analytics concepts

Ability to design analytics-ready datasets and reusable data assets

Ability to translate business requirements into scalable technical solutions

Strong analytical, troubleshooting, and problem-solving capabilities

Interpersonal Skills

Strong verbal and written communication skills

Ability to communicate effectively with technical and non-technical audiences

Strong collaboration and stakeholder engagement skills

Ability to manage multiple priorities and work independently in a fast-paced environment

Education and Experience

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field; equivalent combination of education and experience may be considered

5+ years of experience in data engineering, analytics engineering, data platform engineering, or a related technical role

Experience building and supporting enterprise data platforms, data warehouses, or analytics environments

Experience developing production data pipelines and integration solutions

Experience supporting reporting, business intelligence, and analytics initiatives

Experience working with cross-functional teams including software development, analytics, and business stakeholders

Experience with healthcare data and HIPAA-regulated environments

Preferred: Relevant cloud, data, or analytics certifications

Preferred: Experience with interoperability standards (HL7, FHIR)

Physical and sensory demands:

This position will require extended periods of sitting, typing, and working on a computer screen.

Close vision is required for computer work.

Working environment:

This is an onsite position, with expected working hours of 8:00am to 5:00pm.

Occasional travel to Indigenous Pact work sites may be required.

Why Choose Indigenous Pact?

Building a strong culture and exhibiting our core values is important to us. When you join Indigenous Pact, you are joining a team that values:

Empathy is at the heart of everything we do—we listen, we understand, and we put ourselves in the shoes of others, whether it's our teammates, our clients, or the communities we serve.

Wisdom is about learning from experience, being thoughtful in our work and making decisions that are grounded in knowledge and insight. It's about taking the time to get things right.

Bravery is having the courage to take bold risks, challenging the status quo, and knowing that growth happens when we push our limits.

Transformation drives us to continuously grow—both as a company and as people. It’s about not being afraid to change and to keep pushing forward in the pursuit of excellence.

Visit our Careers page ( https://www.indigenouspact.com/careers ) where we encourage you to learn more about the characteristics that are important to us (and we hope you bring them as well) such as Healthcare-focused, growth mindset, self-motivated, collaborative, resilient and adaptable.

Beyond the job opportunity and incredible culture, we also offer:

Indigenous Pact's PTO Policy includes vacation, wellness and 11+ company-paid holidays

Competitive benefits including 401(k), Medical, Dental, and Vision insurance

Open, transparent lines of communication with leadership

Committed to giving back to improving our communities and environmental impact