Senior Engineer - Ingestion & Streaming Frameworks

About Datavant

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

Role Summary

The Ingestion & Streaming team sits on our Data & Machine Learning Platform organization and owns the movement layer of Datavant’s data platform: batch and streaming pipelines, change data capture, document intake, and the self-service frameworks product teams use to land new sources into Snowflake, our Iceberg-backed lakehouse, and Databricks. Most data moves into the platform; some moves back out. Our job is to make both safe, fast, observable, and boring.

What You Will Do

• Design, build, and operate the ingestion frameworks that pull data from operational databases, vendor APIs, document streams, and third-party feeds into Snowflake, Iceberg, and Databricks
• Own and evolve the ingestion stack (AWS DMS, MWAA / Airflow, Fivetran, and the homegrown tooling on top) and design new patterns for API sources that don’t fit a managed connector
• Build self-service tooling so product engineers can onboard new sources without becoming experts in our infrastructure
• Write and review the Terraform behind our ingestion infrastructure: AWS networking, IAM, compute, and data services
• Partner with product, data, and analytics teams to pick the right ingestion pattern for each source (CDC, batch, API, streaming) and stand it up end-to-end
• Lead production troubleshooting and incident response, and turn each incident into a durable platform fix
• Raise the bar on engineering quality, observability, cost discipline, and security in everything the team ships
• Mentor mid-career engineers and pull peers along through code review, pairing, and design feedback

What We’re Looking For

• 6+ years in data engineering, platform engineering, or data-focused software engineering
• 3+ years of hands-on AWS with real strength in networking (VPC, subnets, routing, PrivateLink, security groups), IAM (roles, policies, permission boundaries), and the data services this role touches, plus the judgment to know when to reach for what
• 2+ years writing production Terraform or equivalent IaC, with experience owning modules, reasoning about state and blast radius, and shipping infrastructure changes safely
• 1+ years building self-service tooling, internal platforms, or paved paths for other engineers