Senior Data Engineer

Simple is looking for a Senior Data Engineer to join our Tech team.

Push the pace of innovation and build a future of a healthier world with us!

Key Responsibilities:

• Design, build, and maintain streaming pipelines.

• Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.

• Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.

• Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.

• Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.

• Maintain infrastructure as code (Terraform) for ingestion and processing resources.

• Monitor pipelines, troubleshoot, and resolve incidents.

• Contribute to our ongoing work on safe data access for AI agents and tooling.

• Continuously improve ingestion architecture, tooling, and engineering practices.

What we’re looking for:

• 5+ years of commercial Python experience in a backend or data engineering role.

• Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.

• Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).

• Experience building streaming pipelines (Kinesis, SQS, or equivalents).

• Experience with infrastructure as code (Terraform or equivalents).

• Working knowledge of SQL: ability to read and write queries, including joins and window functions.

• Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.

• Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.

• Operational mindset: comfortable owning production systems and monitoring them.

• Ability to make architectural decisions independently and review the work of teammates.

Nice to Have

• Strong SQL and data modeling skills.

• Experience with Snowflake and dbt.

• Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).

• Experience working with analytics and product teams as a data provider.

• Experience working with sensitive or regulated data.

Perks and Benefits:

• Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product.

• A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options.

• In-office, remote and hybrid work opportunities.

• The equipment whatever you need to be happy and productive.

• A premium SIMPLE subscription.

• 21 days annual leave, plus bank holidays (those observed where you live).

• Flexible hours. We focus on your results, not how long you spend at your desk.