Senior Data Engineer - Implementation

Paradigm’s Software Engineering team builds and maintains the foundational infrastructure that powers our clinical care data ecosystem. We ingest and integrate data from diverse sources—including Electronic Health Records, lab providers, and Health Information Exchanges—and transform it through enrichment and harmonization to support a wide range of internal consumers and product verticals. As Paradigm’s footprint across patient populations, research initiatives, and health systems expands, the team is focused on scaling our architecture to enable efficient, parallel data processing at scale.

As part of the Data Core team, you’ll work with the engineering team and our commercial counterparts to ingest patient data into our system and build reusable platforms. You will partner closely with product, design, and other internal engineering teams to build resilient features, address bugs, and collaborate to plan upcoming work.

What you'll do:

• Production readiness - handle a moderate size release, know what it means to monitor it and communicate it.
• Designs and implements solutions using best practices, drives architecture decisions for their team.
• Proactively consider cross team effects of their work, breaks down work and drives with the appropriate stakeholders.
• Proactively communicates updates on progress and blockers to ensure timelines can be met and adjusted accordingly.
• Effectively communicate within your team and other teams.
• Share and promote best practices to help your teammates grow.
• Understands the product area you are working with, and how it is used in context of the overall product.
• Works on epics on the scale of ~ 3 months
• Partner with our customer teams to develop engineering plans to implement our health system partners
• Build and support robust batch and streaming pipelines
• Build tools and processes to make data accessible across products and data consumers
• Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure
• Become a subject matter expert on our different datasets and tooling

• You bring experience building data pipelines and working with ETL systems (DBT, Airflow, Dagster, or similar).
• You are proficient in SQL and have worked with a data warehouse system (we use Databricks).
• You have experience programming in Python and a compiled language like Java.
• You’ve worked with big data technologies such as Kafka and Spark.
• You understand data pipelines and how to design them for reliability and scale.
• Bonus: experience with healthcare data formats such as HL7 or FHIR.
• Typically, candidates in this role have 5+ years of relevant experience, but we welcome applicants with equivalent skills and impact.

Engineering Cultural Attributes:

Our engineering culture is shaped by our mission: improving care through data. We work in a fast-moving, complex space, and we succeed by leaning on shared values that guide how we build and collaborate every day.

• Curious - You look at your work beyond the surface, and care about why and how things work
• Gets Stuff Done - Say what you will do, and do that. Deliver work timely and reliably.
• Growth Mindset - Believe in potential, embrace challenges, learn from mistakes.
• Teachable - Willing to learn from anyone and want to teach others
• Respectful - All viewpoints are valuable - we listen and provide appropriate feedback

The base compensation range is $150,000 - $165,000 USD per year. Actual salaries will vary based on candidates' qualifications, skills, and location.