Sr. Software Engineer (Data Acquisition)

Cedar is a leading healthcare technology company dedicated to improving the healthcare system by leveraging data science and smart product design. They are seeking a Senior Software Engineer to join their Data Integration and Platforms team, focusing on enhancing integrations and strategic investments in their core data platform. The role involves collaborating with various teams to improve data integration quality and scalability while mentoring team members.

Responsibilities:

• Lead the design and evolution of the interfaces that connect live integration data to the rest of Cedar
• Act as a product engineer for internal users, driving the roadmap and delivering tools and data abstractions that make messy, customer-sourced data understandable and consumable across the company
• Support our existing live clients by implementing strategic enhancements to their integrations
• Act as a technical mentor for the team, establishing coding standards and best practices for our evolving data platform
• Balance delivery on the needs of today while keeping an eye toward our future North Star Architecture, grounding deliverables in business critical outcomes with strong engineering fundamentals
• Collaborate closely with delivery engineering teams on mechanisms to improve the quality, speed and scalability of data integration with healthcare providers
• Continuously drive scalability into data tools, processes and engineering practices in order to reduce implementation and analytic timelines, customer friction points and maintenance costs
• Apply rigorous software engineering practices to the data domain, including version control, automated testing (unit/integration), CI/CD, and structured logging/observability

Requirements:

• 6+ years of professional software development experience, ideally in data/system integrations roles
• Experienced in designing systems with real-world scale, complexity, and ambiguity
• Strong communicator who collaborates well with cross-functional teams and non-technical stakeholders
• Skilled in mentoring peers and helping others grow through pairing, feedback, and guidance
• Comfortable with tradeoffs and pragmatic about architecture decisions
• Passionate about improving the healthcare experience through thoughtful, human-centered software
• Comfort with Python/Django
• Experience with Healthcare Interoperability Standards such as HL7/FHIR, X12, etc
• Technical expertise across the data ecosystem: storage, query and ETL orchestration technology; governance and quality; analytics, visualization, and AI/ML pipelines
• Familiar with data engineering paradigms like ETL, ELT, Medallion Architecture, and Data Mesh, and can reason between them
• Strong self-starter with initiative
• Familiarity with data engineering tools like dbt, Snowflake, Apache Airflow, Dagster, SQL Alchemy, Fivetran, and Kafka
• Familiarity with Kotlin and Go