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How to Write a Resume for MotherDuck

MotherDuck is the serverless analytics platform built on DuckDB, the embedded analytical database that's taken the data world by storm. They extend DuckDB to the cloud, letting you run analytical queries that seamlessly span your laptop and the cloud. Founded by a former Google BigQuery tech lead, they're reimagining how analysts work with data.

Size

80+ employees

HQ

Seattle, WA

What It's Like to Work There

Small, analytical-database-focused, and intellectually driven. The team includes database researchers and experienced analytics infrastructure engineers. Duck-themed culture (naturally) with a fun, approachable vibe.

Resume Tips for MotherDuck

1

DuckDB or analytical database experience is the perfect background. Show you understand columnar storage, vectorized execution, and analytical query patterns.

2

Experience with cloud data warehouses (BigQuery, Snowflake, Redshift) provides valuable domain context.

3

C++ and Rust skills are relevant to the core engine work.

4

If you've built hybrid local-cloud systems or worked on data federation, that experience translates well.

5

SQL engine internals experience (query planning, optimization, execution) is highly valued.

Hiring Process

1

Application review focused on database and analytics infrastructure experience

2

Technical interview involving database design and distributed systems questions

3

Pair programming or project focused on analytical query processing

4

Team conversations about your vision for the future of analytics

Interview Style

Deep database engineering interviews testing analytical query processing, storage design, and systems programming. They want to see that you understand how analytical databases work at a fundamental level.

Top Roles They Hire

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