Staff Data Engineer

Salary & Experience

Senior Level

$170,000 - $205,000 per year

Job Details

Qualifications:

Required

Bachelor's degree in Computer Science, Engineering, or equivalent experience

5+ years of experience building ELT pipelines in a Data Warehouse environment

Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion)

Hands-on expertise with: dbt, Airflow or Dagster

Strong experience with:

Snowflake or similar cloud data warehouses

Distributed data systems

Kubernetes environments

Deep understanding of:

Append-only data modeling & point-in-time data structures

Column-oriented / analytical SQL modeling

Strong proficiency in:

Python

SQL

Experience implementing:

Test-driven development (TDD) for data pipelines

Git-based workflows and CI/CD best practices

Preferred

Experience working within modern data mesh or data platform architecture

Exposure to real-time or streaming pipelines

Experience supporting large-scale analytics or BI environments

A bit about us

We are seeking a highly skilled Principal Data Engineer to join our Data & Analytics team. This individual will play a critical role in designing, building, and scaling modern data pipelines and architectures to support enterprise analytics, reporting, and data products.

The ideal candidate has deep expertise in ELT development, dimensional modeling, and modern cloud data platforms, with a strong focus on performance, scalability, and data quality. This is a highly technical, hands-on role with significant ownership across the data lifecycle—from ingestion through curated data marts.

Why join us?

Annual performance bonus

Medical, dental, vision coverage

401k with 4% match

Unlimited PTO

Remote flexibility

Competitive compensation packages

Location: Chicago, IL, US

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