Role Description 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. 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 build Oasis ML/AI architecture and predictive models Qualifications - 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 Health Plan Payor Data - Experience with EMR data - Experience with HIE data - Experience with ML/LLMs/AI - Experience with DLT Benefits - Robust benefits including medical, dental, vision, 401k and generous time off plans - Development program that starts with onboarding and continues throughout your career Company Description 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!

Role Description Codeworks, an LRS company, is seeking a Data Warehouse / ETL Developer with strong experience in Informatica and data warehouse design to support enterprise data initiatives for a contract position. In this role, you will contribute to the design, development, and optimization of data integration solutions that support business intelligence and analytics. You will work closely with technical teams and business stakeholders to deliver reliable, high-quality data solutions and help drive continuous improvement across the organization. This role is remote, and candidates must reside in Wisconsin. Key Responsibilities - Design, develop, test, and maintain ETL processes using Informatica - Create and maintain ETL mapping specifications for data warehouse solutions - Collaborate with business and technical teams to gather requirements and implement effective solutions - Support data warehouse initiatives, including data integration, transformation, and loading processes - Ensure data accuracy, consistency, and reliability within the data warehouse - Monitor and optimize performance, including tuning ETL processes and data structures - Maintain data security and follow established data governance practices - Provide guidance and support to team members as needed - Stay informed on emerging technologies and recommend improvements aligned with industry standards Qualifications - 6–9 years of experience in data warehouse development or related experience - Advanced experience with Informatica - Strong experience in data warehouse design and development - Experience with data integration strategies and solutions - Strong SQL skills for data analysis and data management - Ability to translate business requirements into technical solutions - Experience working with both relational and dimensional data models - Understanding of slowly changing dimensions (SCDs) Requirements - The base range for this contract position is $50.00 - $60.00 per hour, depending on experience. - The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. - Individual pay is determined by work location and additional job-related factors. Company Description Codeworks, an LRS company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, Codeworks, an LRS company, uses generative artificial intelligence (“AI”) in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.

• Design, build, and maintain scalable batch and real-time data pipelines • Architect and implement modern Lakehouse solutions using technologies such as Delta Lake or Apache Iceberg • Develop and manage ETL/ELT workflows using tools like Airflow, dbt, or Prefect • Implement robust data quality, governance, lineage, and monitoring frameworks • Design optimized data models to support analytics, business intelligence, and ML workloads • Improve platform scalability, reliability, performance, and cost efficiency • Collaborate with Analytics, Product, and AI/ML teams to enable data-driven solutions • Lead and mentor a team of data engineers while driving engineering best practices and standards • Build and maintain CI/CD pipelines and infrastructure automation for data platforms • Ensure platform reliability, observability, and operational excellence across the data ecosystem

• Support the OneData Alberta and Crosswalk initiatives • Provide strategic architectural leadership for modern data ecosystems • Enable scalable, governed, and secure enterprise data solutions • Deliver enterprise architecture documents and solution designs • Develop data models, semantic layer designs, and integration frameworks • Create AI-enabled data product architectures • Document Crosswalk and data linkage • Establish data governance and metadata standards • Implement proof-of-concept solutions • Provide technical recommendations and assessments • Deliver weekly/monthly status reports