Data Engineer

Primary

Location:

Itasca, IL Hybrid in Chicago’s Northwest Suburbs

In-Office/Remote

Schedule:

2 Days In-Office, 3 Days WFH

Citizenship: Must be Citizen and Green Card

The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and integrations that support data analytics and business intelligence across the organization. This role is essential to ensuring high-quality data delivery, optimizing performance, and enabling effective decision-making through reliable data solutions.

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• 5+ years of experience as a Data Engineer.
• 3+ years of experience with the following:
• Building and supporting data lakehouse architectures using Delta Lake and change data feeds.
• Working with PySpark and Python, with strong Object-Oriented Programming (OOP) experience to extend existing frameworks.
• Designing data warehouse table architecture such as star schema or Kimball method.
• Writing and maintaining versioned Python wheel packages to manage dependencies and distribute code.
• Creating and managing CI/CD pipelines, especially using Azure Dev Ops for Microsoft Fabric-related assets.
• Experience establishing scalable and maintainable data integrations and pipelines in Databricks environments.

• Hands‑on experience implementing data solutions using Microsoft Fabric.
• Experience with machine learning/ML and data science tools.
• Knowledge of data governance and security best practices.
• Experience in a larger IT environment with 3,000+ users and multiple domains.
• Current industry certifications from Microsoft cloud/data platforms or equivalent. One or more of the following is preferred:
• Microsoft Certified:
  Fabric Data Engineer Associate
• Google Professional Data Engineer
• Certified Data Management Professional (CDMP)

• Design and develop scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.
• Extend and enhance existing OOP‑based frameworks developed in Python and PySpark.
• Partner with data scientists and analysts to define requirements and design robust data analytics solutions.
• Ensure data quality and integrity through data cleansing, validation, and automated testing procedures.
• Develop and maintain technical documentation, including requirements, design specifications, and test plans.
• Implement and manage data integrations from multiple internal and external sources.
• Optimize data workflows to improve performance, reliability, and reduce cloud consumption.
• Monitor, troubleshoot, and resolve data pipeline issues to ensure consistent data delivery.
• Establish and manage CI/CD pipelines and release processes, particularly using Azure Dev Ops for Microsoft Fabric.
• Provide technical leadership and coordination for global development and support teams.
• Participate in creating a safe and healthy workplace by adhering to organizational safety protocols.
• Support additional projects and initiatives as assigned by management.

Mid‑Senior level

Full‑time

Information Technology

Information Services