Who You Are

You are passionate about leveraging data to improve healthcare, with a deep commitment to advancing value-based care models that drive better outcomes for patients and providers. You are a servant leader with empathy and integrity, creating an environment where team members feel supported, empowered and heard. You know high-performing teams are built on trust, collaboration and continuous growth, and are dedicated to fostering a culture where innovation, accountability and shared purpose thrive.

Who We Are

Oasis Health Partners (Oasis) is building healthier communities by advancing primary care.  We partner with patients, providers and plans to provide personalized, local care for seniors in towns across America.  We believe that patient needs come first, and that primary care is the foundation of patient-centric healthcare. With Oasis, patients receive better access and care. Providers receive the data, resources and expertise to be successful in value-based care arrangements. Payors get the benefit of a solution that improves performance, drives growth and reduces the total cost of care in hard-to-engage markets.    

Together, we will boldly advance primary care for those that need it most. We are excited for you to join us on this journey. We invite you to be a part of Oasis, where you’ll discover we do listen first, do the right thing, build together and go all in --- while having fun! 

Your Role 

The Director of Data Engineering will serve as both a strategic leader and a hands-on technical expert. You will join our small, but high-impact tech team to build scalable data pipelines, optimize our modern data stack and deliver reliable data products to internal stakeholders and external partners. This is a role that lives in both data and analytics engineering worlds.

• Analytics Engineering – You are a master analytics data modeler and have at least 3 years using DBT (Core or Cloud) and have comfort with advanced DBT functionality.
• Skilled Python developer – you have experience with design and implementation of full-stack data applications. You are able to help implement and promote best practices in Python development.

Additional responsibilities include:

• Designing, building and maintaining scalable data pipelines using AWS (S3, Lambda, Step Functions, Transfer Family, IAM, CDK)
• Building and integrating APIs to pull and update data
• Building and owning DBT models
• Improving Snowflake queries and infrastructure
• Ensuring data quality, observability and documentation are embedded in every process
• Collaborating with the Product Owner and Payor Data SME to prioritize and deliver roadmap initiatives
• Partnering cross-functionally to understand data needs and define scalable solutions
• Managing project timelines, resourcing and delivery milestones
• Overseeing data security best practices, including HIPAA-compliant architecture
• Ensuring data access governance, monitoring, and secure operations in AWS and Snowflake

In the first 12 months you can expect to:

• Build EMR data integrations
• Build DBT data models
• Build robust data pipelines / ETL
• Ensure the successful implementation of all new payors going live in 2026
• Collaborate with the Product Owner and CDAO to align data engineering priorities with business objectives
• Translate roadmap initiatives into technical deliverables with clear milestones and capacity planning
• Partner with stakeholders to identify new data products or features that support value-based care initiatives
• Drive initiatives that position the data platform to scale with company growth
• Evaluate and enhance current data pipelines in AWS (S3, Lambda, Step Functions, Transfer Family, IAM, CDK) for scalability and performance
• Help built Oasis ML/AI architecture and predictive models

Investment In Our Team 

We invest in the personal and professional success of our team. We take care of our people and offer robust benefits including medical, dental, vision, 401k and generous time off plans. We are committed to supporting your growth with a development program that starts with onboarding and continues throughout your career. As an inclusive, passionate, and diverse team, you will partner with professionals who understand the importance of high-value, high-impact patient care.   

About You 

• 8+ years of experience in data engineering
• 3+ years lead data engineering teams
• Deep expertise with AWS services (CDK, S3, Lambda, Step Functions, Transfer Family)
• Strong experience with Snowflake and DBT
• Hands-on proficiency in Python and SQL
• Proven ability to lead both technical projects and people
• Experience working in a startup or high-growth environment is a strong plus
• Deep experience with healthcare or payor data
• Experience with Snowflake environment and structures
• Working knowledge of business intelligence/reporting tools, experience analyzing data, writing queries, and building ad-hoc reports
• Knowledge of modern database design and emerging data technologies
• Familiarity with emerging data analytic concepts and technologies
• Comfortable working in a matrixed reporting structure and operating with ambiguity

Preferred Experience

• Experience with our platform tools: AWS, Tuva, and Sigma
• Experience with Heath Plan Payor Data
• Experience with EMR data
• Experience with HIE data
• Experience with ML/LLMs/AI
• Experience with DLT