Senior Data Engineer

About the role

We're hiring a Senior Data Engineer to lead the design, development, and scaling of our data warehouse and analytics platform — critical systems that give enterprise customers direct access to their own data and power reporting for every team inside Healthie.

In this role, you'll help build and maintain the architecture and implementation of the isolation model, warehouse pipelines, and provisioning infrastructure behind both. On the customer side, that means enforcing hard guarantees at the database layer: customers get real ad-hoc query access to a shared warehouse, and can only ever reach their own data. On the internal side, it means partnering with teams across the company to build the models and dashboards they use to run their departments. You'll work closely across engineering, support, and customer success teams to automate and harden these systems, ensuring data quality, scalability, and compliance. 

Your work will be central to accelerating enterprise onboarding, giving internal teams reporting they can trust, and expanding Healthie's ability to empower our diverse and growing customer base.

At Healthie, we are AI-enabled and AI-accelerated in how we build. We are looking for team members who actively leverage AI-powered development tools, embrace automation, and help teams adopt modern, AI-assisted engineering practices to increase velocity and quality.

About you

• You have 6+ years of engineering experience spanning data and infrastructure
• You're proficient in SQL and relational databases (PostgreSQL and Snowflake preferred)
• You've implemented access control at the database level in a warehouse — row-level or column-level security, RBAC, role hierarchies — and you can reason about what a user could reach through a query path you didn't design for
• You've operated a production data pipeline you didn't build, diagnosing CDC failures, schema drift, and bad upstream values while customers are watching
• You're fluent in Terraform or similar IaC, and you'd rather codify a provisioning step than run it twice
• You've partnered with non-engineering teams to turn ambiguous reporting asks into models they'll actually use
• You're comfortable automating in a scripting language — we use Ruby and SQL. Deep application backend experience isn't required
• You treat cloud spend as an engineering problem, and can trace a line on the bill back to the config that caused it
• You think beyond one-off scripts — you build reusable, automated tools that scale with the business
• You prioritize data quality, observability, and compliance, and build systems that reflect those standards
• You communicate clearly and collaborate effectively across technical and non-technical teams
• Experience with HIPAA-regulated data is strongly preferred; PHI isolation is a core constraint of the role
• Experience with dbt, Metabase, Kafka/Debezium, or AWS data infrastructure is a plus — but curiosity, adaptability, and a builder's mindset still matter most

Details, details

• This is a full-time, remote position. 
• U.S. work authorization is required.
• The salary for this position is a base between $185,000 - $215,000.

Interview Process

• Quick chat with someone from our Talent team (15 minutes)
• Interview with Ani, Director of Customer Engineering (30 minutes)
• Technical Assessment with members of our data engineering team (45 minutes)
• Interview with Colin Allison, Data Product Manager (30 minutes)
• Final session with Cavan, CTO & Co-founder (15 minutes)
• Reference Checks

Learn more at gethealthie.com/careers.