Senior Data Engineer - Databricks & ETL Pipelines

Raise; Chicago (IL); On-site; USD 130,000 - 145,000; Full time

Job summary

Raise is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines using Databricks and ETL in a cloud-native environment. You will collaborate with product, analytics, and engineering teams to ingest, model, and serve high-quality data, while driving performance and cost efficiency across the stack.

The role requires 5+ years in data engineering, strong Python/SQL, Spark experience, and familiarity with data warehouses and lakehouse patterns.

Qualifications

• 5+ years of hands-on data engineering experience.
• Strong Python/SQL, data modeling, and pipeline design.
• Experience with Databricks and ETL development.

Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines using modern distributed processing frameworks.
• Implement and optimize data processing workloads with Databricks and Spark-based architectures.
• Collaborate with cross-functional teams to ingest, model, and serve high-quality data.
• Ensure data pipelines are reliable, performant, and cost-efficient across cloud environments.
• Maintain code quality with testing, version control, and CI/CD.

Skills

Python

SQL

Databricks

ETL

Spark

Education

Bachelor's degree in CS/CE/SE

Tools

Databricks

Spark

Git

CI/CD

Job description

Raise is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines using Databricks and ETL in a cloud-native environment. You will collaborate with product, analytics, and engineering teams to ingest, model, and serve high-quality data, while driving performance and cost efficiency across the stack.

The role requires 5+ years in data engineering, strong Python/SQL, Spark experience, and familiarity with data warehouses and lakehouse patterns.