Senior Software Engineer (Data & ML Platform)

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

At Datavant we are excited to meet engineers who problem solve, build, and understand the methodologies and underlying concepts of software engineering. As an

experienced leader of projects, teams and initiatives

, you will join the team with the autonomy and decision rights to immediately begin shaping our healthcare data ecosystem for our clients. Our goal is to connect the world’s health data and as a Staff Engineer you will work on the architecture and design level solutioning of our product while also driving implementation and helping to mentor other team members. If you are looking for a rapidly growing engineering team focused on delivering meaningful impact through innovative technology solutions, this is the team and role for you!

What You Need To Succeed

6+ years of experience developing and delivering production-grade software and data systems.

Proficiency in Python, Java, or Scala — comfortable writing robust, testable, and scalable code.

Deep experience with AWS (Lambda, ECS/EKS, EMR, Step Functions, S3, IAM, etc.).

Strong knowledge of distributed systems and streaming/data pipelines (Kafka, Spark, Delta, Airflow, etc.).

Familiarity with infrastructure-as-code (Terraform, CloudFormation, or CDK) and CI/CD pipelines (GitHub Actions, Jenkins, etc.).

Understanding of SRE fundamentals — monitoring, alerting, on-call readiness, resilience testing, and incident management.

Hands-on experience with Databricks, MLflow, or similar ML/ETL platforms is a plus.

Bonus: Experience with container orchestration (Kubernetes) and observability tools like Datadog, Prometheus, or Grafana.

Passion for building tools and platforms that empower teams and improve developer velocity.

Excitement, passion and curiosity about our mission of connecting the world’s health data and improving patient outcomes

What You Will Do

Design and implement end-to-end systems that power our ML and Data Platforms — from ingestion to model deployment to monitoring.

Own, operate, and optimize platform components across Databricks, AWS, and Kubernetes, ensuring reliability, observability, and security.

Build scalable data flows and high-performance compute pipelines using Spark, Delta, and modern data lakehouse patterns.

Develop automation and tooling for CI/CD, model deployment, data quality checks, and environment management.

Collaborate across teams — partner with Data Science, Product Engineering, and DevOps to design reusable platform components.

Lead by example — mentor engineers, drive code reviews, and establish best practices for reliability, scalability, and maintainability.

Contribute to innovation by exploring new technologies, driving proof-of-concepts, and improving developer productivity across ML and data workflows.

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We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive.

We are proud to be an Equal Employment Opportunity employer. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

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