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How to Write a Resume for Dagster

Dagster is the data orchestration platform built around the concept of software-defined assets. Instead of defining tasks (like Airflow), you define the data assets you want to exist and Dagster figures out how to build them. Created by Nick Schrock (who also created GraphQL at Facebook), they bring a programming language design sensibility to data engineering.

Size

100+ employees

HQ

San Francisco, CA

What It's Like to Work There

Thoughtful and design-oriented. Nick Schrock brings a programming language designer's mindset, and the culture values elegant abstractions and careful API design. Small team with high technical bar.

Resume Tips for Dagster

1

Data orchestration experience is the key qualifier. If you've built or used Dagster, Airflow, Prefect, or similar tools, detail your experience.

2

Show you can think in terms of data assets and dependencies, not just task DAGs. This is Dagster's core philosophy.

3

Python expertise is essential. Dagster is Python-native with a strong type system.

4

If you've worked on programming language design, developer tools, or framework development, that experience translates well.

5

Understanding of the modern data stack (dbt, Snowflake, Spark) provides valuable context.

Hiring Process

1

Application review with emphasis on data engineering and systems thinking

2

Technical interview focused on data pipeline architecture and Python skills

3

Virtual onsite with 3-4 rounds: coding, system design, asset-based thinking, and team fit

4

They assess how you think about data orchestration as a design problem

Interview Style

Conceptual and technical. They want to see how you think about data orchestration as a design problem, not just an engineering one. Expect questions about asset-based approaches and framework design.

Top Roles They Hire

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