Data Engineer
Chicagoonsitemid
via Greenhouse
About this role
The Role
You’ll sit within the Data & Analytics organization, working at the foundation of everything we build with data. You’ll design and maintain the pipelines, infrastructure, and systems that make clean, reliable data possible so that analysts, engineers, and business stakeholders can trust what they’re looking at. You won’t just move data; you’ll shape how the company accesses it.
This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North.
Responsibilities
Build, implement, and maintain robust ETL/ELT pipelines that power reliable, timely data delivery across the organization
Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers…
What we'd score you on
reqspace match rubricFive 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, aws, fivetran…
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 Chicago. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsnowflakeawsfivetrangitteams
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