Senior Analytics Engineer

Senior Analytics Engineer

Join our growing data & technology team at PurposeCare!

PurposeCare is an integrated platform company that coordinates care in the community with a focus on individuals who are dually eligible for Medicaid and Medicare. Our family of companies provides home care to assist individuals with daily living as well as skilled clinical services to treat acute conditions and manage wellness. PurposeCare is private equity-funded and growing quickly through mergers and acquisitions.

We are seeking a skilled Senior Analytics Engineer to join our team and help build and maintain our data infrastructure. You will be responsible for designing, developing, and optimizing data pipelines and systems that enable reliable data processing and analytics across the organization.

Key Responsibilities:

• Design and implement robust data pipelines using modern orchestration tools
• Develop and maintain SQL data models to support business intelligence and analytics needs
• Build and optimize data transformation workflows using dbt for scalable data modeling
• Create and maintain APIs for data integration and access across various systems
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Monitor and troubleshoot data pipeline performance and reliability
• Implement best practices for version control and collaborative development

Required Skills & Experience:

• Bachelor's degree, master's degree preferred
• Strong proficiency in SQL and data modeling techniques
• Experience with Python
• Hands-on experience with dbt for data transformation and modeling
• Experience with workflow orchestration tools (Prefect preferred)
• Proficiency with Azure cloud services and cloud data platforms such as Snowflake, Redshift, BigQuery, Databricks, etc.
• Experience developing and integrating APIs
• Strong knowledge of Git and version control workflows
• Understanding of data and pipeline architecture and best practices

What You'll Work With:

• Modern data stack including dbt, Prefect, Snowflake, and Azure
• SQL databases and data warehousing solutions
• Python-based data processing frameworks
• API development and integration tools