Senior Data Engineer
Chicagoonsitesenior$140K – $160K
Posted 3 days ago · via Workday
About this role
The Senior Data Engineer will design, build, and maintain the scalable data pipelines, models, and infrastructure that power analytics, business intelligence, and machine‑learning products across the company. Partnering closely with business, product, and analytics teams, you will translate complex requirements into elegant, reliable data solutions and help drive the delivery of innovative data products. This role reports to the Senior Manager, Data Engineering. Duties and Responsibilities: Build end-to-end Azure Databricks-based data solutions.…
Read the full description on Sidley Austin (CA) LLP's site →
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, scala, sql, snowflake, databricks…
2
Level fit
This role is senior-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.
pythonscalasqlsnowflakedatabricksawsazuregcpvaultsparkpysparkteams