Senior Data Engineer

Healthie•,

10d•Hybrid

About The Position

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.

Requirements

6+ years of engineering experience spanning data and infrastructure
Proficient in SQL and relational databases (PostgreSQL and Snowflake preferred)
Implemented access control at the database level in a warehouse (row-level or column-level security, RBAC, role hierarchies)
Operated a production data pipeline, diagnosing CDC failures, schema drift, and bad upstream values
Fluent in Terraform or similar IaC
Partnered with non-engineering teams to turn ambiguous reporting asks into usable models
Comfortable automating in a scripting language (Ruby and SQL)
Treat cloud spend as an engineering problem and can trace costs back to configurations
Build reusable, automated tools that scale with the business
Prioritize data quality, observability, and compliance
Communicate clearly and collaborate effectively across technical and non-technical teams
U.S. work authorization is required.

Nice To Haves

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

Responsibilities

Lead the design, development, and scaling of our data warehouse and analytics platform.
Build and maintain the architecture and implementation of the isolation model, warehouse pipelines, and provisioning infrastructure.
Enforce hard guarantees at the database layer for customer data access.
Partner with internal teams to build models and dashboards for departmental reporting.
Automate and harden systems in collaboration with engineering, support, and customer success teams.
Ensure data quality, scalability, and compliance.
Leverage AI-powered development tools and embrace automation.
Adopt modern, AI-assisted engineering practices to increase velocity and quality.