Note: The job is a remote job and is open to candidates in USA. Indigenous Pact PBC, Inc. is a healthcare-focused organization that values empathy, wisdom, bravery, and transformation. The Data Platform & Analytics Engineer will design, build, operate, and improve the organization's data platform and analytics infrastructure, including pipelines, integrations, Databricks solutions, data models, and analytics-ready datasets. The role also supports platform security, governance, reliability, and collaboration with developers, BI analysts, and business stakeholders.
Responsibilities
- 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
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)
- 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
- 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
- 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
- Relevant cloud, data, or analytics certifications
- Experience with interoperability standards (HL7, FHIR)
Benefits
- 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
- A development-focused environment where you have autonomy to drive your career path
Company Overview