Director of Data Engineering

Oasis Health Partners® · Chicago, IL · 1 mo ago

RemoteRemoteEngineeringFull-time

Analytic Engineering – Master analytics data modeler with at least 3 years using DBT (Core or Cloud) and comfortable with advanced DBT functionality.
Skilled Python developer – experience with design and implementation of full-stack data applications, promoting best practices in Python development.

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

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

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

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