Senior Software Engineer

Paradigm Health

21h•Hybrid

About The Position

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster. Our team hails from a broad range of disciplines and is committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission. In this role, you will lead high-impact, cross-functional initiatives that shape the evolution of Paradigm’s data platform—partnering closely with product, design, data science, and engineering to deliver scalable, AI-driven solutions. As a senior member of the Data Core team, you’ll own complex projects from concept through production, driving alignment across teams while enabling the platform to scale across new products, therapeutic areas, and global use cases.

Requirements

7+ Years of experience in Data or Software Engineering
Bachelor’s degree in CS; Master’s degree preferred
Experience with ETL systems like DBT, Airflow and Dagster
A strong knowledge of SQL and have worked with a data warehouse system. We use Databricks at Paradigm
Experience with python and a compiled language like Java or Kotlin (i.e. JVM)
Working experience with building pipelines with Kafka, Spark, and other big data technologies
Experience building infrastructure using major cloud providers e.g. AWS and infrastructure as code solutions e.g. Terraform
Ownership - Takes proactive lead into their work - say what you will do, and do that.
Growth Mindset - Believe in potential, embrace challenges, learn from mistakes.
Curious - you look at your work beyond the surface, and care about why and how things work
Amplifies Others - Willing to learn from anyone and want to teach others
Transparent - Provides effective feedback to reports, in code reviews, and shares information openly to build confidence.

Nice To Haves

You understand data and the pitfalls associated with it. You may have experience in working with HL7, FHIR or similar types of industry proprietary data feeds

Responsibilities

Lead the design and evolution of a scalable, multi-product data platform capable of supporting rapid growth (e.g., 600K to 2.5M+ patients) and expansion into new therapeutic areas
Drive large, cross-team engineering initiatives end-to-end—from architecture and planning through production—while owning dependencies, aligning stakeholders, and ensuring predictable delivery timelines
Architect, build, and optimize robust batch and streaming data pipelines with a focus on scalability, reusability, and enabling downstream team ownership
Modernize legacy systems into future-state, AI-first data infrastructure by defining best practices, improving observability, and advancing monitoring and failure detection capabilities
Partner closely with data science, product, and commercial teams to deliver reliable, AI-driven data solutions, ensuring alignment across product areas and enabling high-confidence integrations and outcomes
Deeply understand your product area, and how it impacts other product areas to effectively propose changes and how it impacts the success of the company.