At Doist, our mission is to empower people with simple yet powerful tools.

We're a multidisciplinary, fully-remote, team that’s passionate about creating products, like Todoist and Twist, that improve people’s lives.

We thrive on innovating new solutions to old productivity challenges and we seek to rethink how productivity tools are made.

Our products (Todoist and Twist) serve millions of users, but the data infrastructure is rudimentary — it grew organically and at times relies on spreadsheets. We're at an inflection point: formalizing our data strategy, rethinking data architecture from the ground up, performing gap analysis to drive a roadmap, reviewing data modeling and data flows, qualifying data consumption needs, prioritizing use cases, identifying the need for data pipelines, and enabling teams to answer their own questions (with some AI assistance) without needing an engineer. You'll be central to that transformation.

The Platform team owns the data infrastructure, other teams own several parts of reporting, Product owns experiments — you'll work at the intersection of all three, very central to the value creation flywheel.

You will:

Build and maintain data pipelines from OLTP production systems (MySQL, ClickHouse) to a data lakehouse/warehouse.
Design and implement CDC (Change Data Capture) solutions — our current pipeline is stale and needs replacement
Own data quality — set up monitoring and alerting to the relevant teams responsible for the systems collecting the data, and ensuring freshness across our data and analytics infrastructure
Enable self-serve analytics — help engineers and non-engineers answer their own questions without needing an engineer
Document and democratize — help maintain and refine tooling for data catalogs, metric definitions, and make data discoverable
Platform Engineering — contribute to other Platform Engineering challenges, helping accelerate other teams while upkeeping reliability and confidence

This role starts as roughly 70% data engineering / 30% platform engineering, and we expect it to evolve toward a more balanced split over time. You'll initially focus on building the core data infrastructure, and as that matures, you'll take on more of the broader

Platform mission — cloud infrastructure, developer tooling, and enabling other teams.

Senior Data Engineer

Anywhere in the world

Remote

Senior

Doist