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# Data Engineer

- **Company:** Mesirow Financial Holdings, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $140,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Database Queries, DevOps, Key Management, Performance Tuning, SQL Databases, Web Applications, Data Classification, Azure Data Factory, Data Lakes, Pyspark, Git Flow, Infrastructure Automation Frameworks, Data Management, Data Pipelines, Databricks
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-chicago-il--5b87977f-7259-463e-b6cf-679d1760acee

## About the Role

Financial Services, Capital Markets, Investment Services, Rich Internet Application (RIA), Banking Services, Foreign Exchange (FX), Cloud Computing, Operations, Microsoft Windows Azure, Channel Support, * 2-5 years of experience in designing, developing, and deploying data pipelines and modern cloud data solutions.

 * Strong proficiency in Python programming and PySpark
 * Hands-on experience with Databricks (notebooks, jobs, Delta Lake) and Unity Catalog
 * Experience building and operating orchestration pipelines with Azure Data Factory (ADF)
 * DevOps experience, Git-based workflows and CI/CD
 * Self-starter with strong ownership, problem-solving skills, and the ability to manage multiple priorities in a fast-moving environment.
 * Strong communication and collaboration skills, with the ability to translate business requirements into practical data solutions and work effectively with both technical and non-technical stakeholders

Nice to Have:

 * Experience working with Salesforce data.
 * SQL experience (complex queries, tuning, data modeling) a plus
 * Experience working in an Azure environment

## Description

* Own technical solutions that evolve our data architecture/integration patterns while also solving for changing business needs
 * Develop and maintain ETL pipelines to transform raw data into usable formats for data analysis, reporting and a centralized data repository
 * Evolve our data pipeline infrastructure using cloud native tools such as Azure Data Factory, Databricks or similar toolsets.
 * Collaborate with other data stewards, product and business team members to ensure that our data is accurate, reliable, and consistent
 * Participate in an agile team dynamic; own testing through test automation, drive DevOps capabilities and infrastructure-as-code practices to create repeatable and controlled deployments across environments.
 * Build trusted, well-governed data products that can support reporting, analytics, automation, and emerging AI use cases.
 * Apply security-by-design principles, including least-privilege access, secrets management, encryption, data classification, and appropriate protection of sensitive data
 * Partner with data owners and stewards to implement data quality, classification, lineage, access controls, and governance standards across the data platform