Senior Software Engineer (Data & Integrations Engineering)
Cedar
New York, United States Posted October 28, 2026
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Salary Range
$195,500 - $247,250
Job Description
Join Cedar, a healthcare technology company, as a Senior Software Engineer in the Data & Integrations Engineering team. In this dynamic role, you will lead the design and implementation of interfaces connecting live integration data to Cedar's systems, support existing clients with strategic enhancements, and act as a technical mentor for the team. You will collaborate closely with delivery engineering teams to improve data integration quality, speed, and scalability, and apply rigorous software engineering practices to the data domain. Enjoy a generous compensation package, unlimited PTO, and location flexibility.
- Lead the design, implementation, and evolution of the interfaces that connect live integration data to the rest of Cedar.
- Serve 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.
- Act as a technical mentor for the team, establishing coding standards and best practices for our evolving data platform.
- Strong communicator who collaborates well with cross-functional teams and non-technical stakeholders
- Experienced in designing systems with real-world scale, complexity, and ambiguity
- 6+ years of professional software development experience, ideally in data/system integrations roles
- Skilled in mentoring peers and helping others grow through pairing, feedback, and guidance
- Passionate about improving the healthcare experience through thoughtful, human-centered software
- Comfortable with tradeoffs and pragmatic about architecture decisions
- 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. Cedar is a mature startup, but successful candidates will still need a strong drive to understand the systems and navigate them to deliver successfully
- Familiarity with data engineering tools like dbt, Snowflake, Apache Airflow, Dagster, SQL Alchemy, Fivetran, and Kafka
- Familiarity with Kotlin and Go
Required Skills
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