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# Data Engineer

- **Company:** Robert Half
- **Location:** Chicago, IL, United States
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Big Data, C Sharp (Programming Language), Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Apache Hadoop, Python (Programming Language), Power BI, Tableau (Software), Data Processing, Azure Data Factory, Apache Spark, Microsoft Fabric, Apache Kafka, Data Management, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/4aaeae55-63a9-4a86-9ea6-1c2994a50f6b

## About the Role

Demonstrated experience building data solutions with Microsoft Fabric or Azure Data Factory.
Strong proficiency in Python for data engineering, automation, and pipeline development.
Solid background in data architecture and data modeling for enterprise environments.
Hands-on experience with modern ETL practices and large-scale data processing technologies such as Apache Spark, Hadoop, or Kafka.
Ability to communicate clearly with technical and non-technical stakeholders and work independently with minimal oversight.
Familiarity with business intelligence tools such as Power BI or Tableau is preferred.
Exposure to C# or Java is considered an advantage., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

We are looking for a Data Engineer to take ownership of a growing enterprise data platform. This role is best suited for a highly capable, hands-on individual who can build, optimize, and support modern data solutions while working closely with business and technical stakeholders. The position offers the opportunity to shape data architecture, improve data accessibility, and contribute to a scalable analytics environment. This is an onsite role, with three days per week in the office., Design, build, and maintain scalable data pipelines that support enterprise reporting, analytics, and operational needs.
Develop and enhance data integration workflows using Microsoft Fabric or Azure Data Factory to move and transform data efficiently.
Create and refine data models and architecture standards to improve consistency, performance, and long-term usability across platforms.
Write production-quality Python code to automate data processing, validation, and orchestration tasks.
Partner with cross-functional teams to understand business requirements and translate them into practical data engineering solutions.
Monitor data platform performance, troubleshoot issues, and implement improvements that strengthen reliability and maintainability.
Work with large-scale data technologies such as Spark, Hadoop, Kafka, and ETL frameworks to support evolving data initiatives.
Contribute to the expansion of the data function by documenting processes and, over time, providing guidance to team members as needed.


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