Data Engineer III

About the role

An Introduction to Primer

Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform.

Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on.

Watch our showcase > https://primer.io/the-primer-showcase

Read up on our $100m Series C https://www.primer.io/blog/series-c

Learn more about our culture > https://primer.io/careers

Which team will you be joining?

Primer’s payments platform produces a constant stream of transaction, merchant and product data, and the data team turns it into something the rest of the company can rely on. You’ll work day to day with product and engineering teams. The team treats data as a software discipline, so pipelines, models and tools get the same review, testing and ownership as product code.

What will you be doing?

- Own batch and streaming pipelines, including CDC feeds from operational databases into Snowflake, and make them reliable enough that other teams stop thinking about them.

- Design the internal tools and APIs that make data usable for analytics, product features and machine learning.

- Model and transform data in dbt so the warehouse is a source of truth people trust, not a pile of tables nobody can explain.

- Decide how data should be stored and moved across CockroachDB, DynamoDB, Elasticsearch and Snowflake, and build the path between them.

- Ship pipelines with the same standards as any production service: tests, CI/CD, containers, and observability through OpenTelemetry and Datadog.

- Take a multi-component data project from scoping through to rollout, bringing other engineers into the design along the way.

What we’re looking for

Must-haves:

- Strong software engineering fundamentals: tested, reviewed code with clean abstractions.

- Proficiency in Python and SQL.

- Hands-on experience building and running batch or streaming data pipelines in production.

- Comfort across cloud-native infrastructure, ideally AWS, Kubernetes and Terraform.

- Clear written and verbal communication, and a habit of sharing what you learn.

Nice to have:

- Working experience with Snowflake and dbt.

- Experience with CDC tooling or streaming systems.

You may not like it here

- We’re remote-first and always will be. There’s no office to fall back on, so you’ll need to be self-directed and comfortable communicating in writing.

- Context and priorities shift quickly. If you need a clear plan handed to you every week, this will be hard going.

- There are no testers or QAs here. Writing and owning your own tests isn’t optional, and if you don’t enjoy it, you’ll feel the gap.