Data Engineer - Modern Cloud Data Platform & Pipelines

Ultipro; Chicago, Northern (IL, KY); Hybrid; USD 125,000 - 140,000; Full time

Benefits offered by this job

Bonus eligible

Benefit program

Job summary

Mesirow, a Chicago-based independent financial services firm, seeks a Data Architect to modernize our data estate. You will own solutions for evolving data architecture, build ETL pipelines, and migrate workflows to a cloud-native platform on Azure Databricks, Azure Data Factory, and related tools.

Collaborate with data stewards, product and business teams to deliver reliable data products and governance. The role emphasizes DevOps, testing, and infrastructure-as-code, with opportunities to

Qualifications

• 2–5 years of experience designing, developing, and deploying data pipelines.
• Strong proficiency in Python and PySpark.
• Experience with Databricks, Unity Catalog, and Azure Data Factory.
• DevOps experience with Git-based workflows and CI/CD.

Responsibilities

• Own technical solutions that evolve data architecture/integration patterns.
• Develop and maintain ETL pipelines to transform raw data for analysis and reporting.
• Evolve data pipeline infrastructure using Azure Data Factory, Databricks, etc.
• Collaborate with data stewards, product and business teams for data accuracy and governance.
• Participate in an agile team, drive testing, DevOps and IaC for reproducible deployments.
• Build trusted data products to support reporting, analytics, automation, and AI use cases.
• Apply security-by-design: least-privilege, secrets management, encryption, data classification.
• Partner with data owners to implement data quality, lineage, access controls, and governance.

Skills

Python

PySpark

Databricks

Unity Catalog

Azure Data Factory

DevOps

Git CI/CD

Data pipelines

Cloud data

Tools

Azure Data Factory

Databricks

Unity Catalog

Job description

Mesirow, a Chicago-based independent financial services firm, seeks a Data Architect to modernize our data estate. You will own solutions for evolving data architecture, build ETL pipelines, and migrate workflows to a cloud-native platform on Azure Databricks, Azure Data Factory, and related tools.

Collaborate with data stewards, product and business teams to deliver reliable data products and governance. The role emphasizes DevOps, testing, and infrastructure-as-code, with opportunities to