[Hiring] Senior Data Engineer @Healthie

Role Description

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.

• Help build and maintain the architecture and implementation of the isolation model, warehouse pipelines, and provisioning infrastructure.
• Enforce 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.
• Partner with teams across the company to build the models and dashboards they use to run their departments.
• Work closely across engineering, support, and customer success teams to automate and harden these systems, ensuring data quality, scalability, and compliance.
• 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.

Qualifications

• 6+ years of engineering experience spanning data and infrastructure.
• Proficient in SQL and relational databases (PostgreSQL and Snowflake preferred).
• Experience implementing access control at the database level in a warehouse — row-level or column-level security, RBAC, role hierarchies.
• Experience operating a production data pipeline you didn't build, diagnosing CDC failures, schema drift, and bad upstream values while customers are watching.
• Fluent in Terraform or similar IaC, with a preference for codifying provisioning steps.
• Experience partnering with non-engineering teams to turn ambiguous reporting asks into usable models.
• Comfortable automating in a scripting language — we use Ruby and SQL.
• Ability to treat cloud spend as an engineering problem and trace costs back to configurations.
• Focus on building reusable, automated tools that scale with the business.
• Prioritize data quality, observability, and compliance in system design.
• Clear communication and effective collaboration 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.

Requirements

• 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.

Benefits

• Healthie is subject to HIPAA and other security and privacy frameworks, and this job entails training and conformance to expectations regarding security and compliance.
• Healthie participates in e-verify.
• Healthie is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability, or any other protected category.
• We're proud to be building a diverse and inclusive environment that encourages collaboration, creativity, and growth.