Senior Backend Engineer (Data-Focused)

This is a fully remote role.

About Homera Health

Homera Health has built some of today’s largest and fastest-growing D2C telemedicine brands. As we expand existing and new market operations, we’re hiring world-class talent across product design, front-end and back-end engineering, digital marketing, and operations to join us in building the next generation of virtual healthcare experiences.
About the Role

This role sits at the core of how our systems work.

You’ll build the backend services that power our product and the data pipelines that drive decision-making across growth, operations, and patient experience.

This is not a traditional backend role — you’ll work across APIs, databases, and data systems to ensure we can reliably capture, process, and use data at scale.

You’ll work closely with founders and cross-functional teams to turn data into real product and business outcomes.

What You’ll Do

• Build and maintain backend services and APIs that power our platform

• Design and own data pipelines (ingestion, transformation, storage)

• Model and structure data to support product features and internal tools

• Work with large datasets to support analytics, experimentation, and automation

• Optimize database performance (queries, indexing, scaling)

• Contribute to system architecture as we scale (services, data flow, reliability)

• Partner with product, growth, and operations to solve data-driven problems

• Improve observability, logging, and data reliability across systems
  

What We’re Looking For

• 5+ years of backend engineering experience (Node.js or Python), with demonstrated ownership of production systems

• Experience building or owning data pipelines / ETL workflows in production environments

• Deep experience with SQL and relational databases (Postgres strongly preferred)

• Strong understanding of system design and performance at scale

• Experience with Claude Code

• Experience working in fast-paced, startup environments with high ownership
  

Nice to Have

• Experience with event-driven systems or streaming (Kafka, Pub/Sub, etc.)

• Familiarity with tools like Airflow, dbt, or modern data stacks

• Experience supporting analytics, growth, or experimentation teams

• Cloud experience (AWS)

• Exposure to data-heavy applications

What’s in it for you?

As a full-time member of our team, you’ll enjoy:

• Flexible working hours

• Work wherever you choose.

• Fun and casual work environment.

• We are a diverse, global team!