Senior Data Engineer - Greenfield Data Platform & AI

Harnham; Chicago (IL); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Confidential Law Firm is building a next-generation enterprise data platform in Chicago and seeks a Senior Data Engineer to own production pipelines end-to-end. You will shape architecture, implement ETL/ELT and streaming workloads, and advance Delta Lake/ Lakehouse patterns across a global organization.

The role emphasizes hands-on coding, strong Python/SQL skills, and modern CI/CD, with Azure as the preferred cloud.

Qualifications

• 6+ years of substantive, hands-on Data Engineering experience.
• Deep production expertise with Databricks and Spark/PySpark.
• Strong Python + SQL fundamentals and data modeling.
• Experience with CI/CD, testing, monitoring and performance optimization.
• Azure cloud experience preferred; greenfield project ownership.

Responsibilities

• Architect and build production-grade data pipelines end-to-end.
• Engineer ETL/ELT, batch and streaming workloads.
• Work with Azure Databricks, Python, SQL, PySpark and Delta Lake.
• Define data models and patterns (Bronze/Silver/Gold).
• Modernize legacy warehouses and own CI/CD, testing, and observability.
• mentor engineers and influence technical direction while coding hands-on.

Skills

Python

SQL

Data modeling

CI/CD

Observability

Education

Bachelor's degree in CS/CE/Math/Data Science

Tools

Databricks

Spark/PySpark

Delta Lake

Job description

Confidential Law Firm is building a next-generation enterprise data platform in Chicago and seeks a Senior Data Engineer to own production pipelines end-to-end. You will shape architecture, implement ETL/ELT and streaming workloads, and advance Delta Lake/ Lakehouse patterns across a global organization.

The role emphasizes hands-on coding, strong Python/SQL skills, and modern CI/CD, with Azure as the preferred cloud.