Data Engineer

mid$160K$250K

via Ashby

About this role

Profound is on a mission to help companies understand and control their AI presence. We are looking for an experienced Data Engineer to own and scale our data platform. You will maintain and optimize our pipelines, design new ingestion processes, and support the data needs of our product, data science, and go-to-market teams. This is a great opportunity for someone who enjoys working with modern data tooling, improving performance and reliability, and building the foundation for machine learning-powered features. WHAT YOU’LL DO - Maintain and improve data pipelines to keep data flowing reliably from ingestion to delivery - Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster - Own data quality by implementing monitoring, alerting, and validation…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, snowflake, clickhouse, aws…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in a specific location. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlsnowflakeclickhouseawsairflowprefectdagsterdbt

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