Job Description

Job Title: Azure Data Engineer

Primary Location: Hybrid - Schaumburg, IL - 2 Days In-Office, 3 Days WFH

Position Type: Direct Hire

Compensation Information
The expected salary range for this position is $110,000 - $147,000 per year, depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance, 401(k), and paid time off. committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.



Overview
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.



What You Bring to the Role. (Ideal Experience)

• 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 Spark and Python.
  • Writing code using OO programming.
  • Designing data warehouse table architecture such as star schema or Kimball method
• Experience developing and installing wheelhouse packages for managing dependencies and distributing code.
• Experience creating CI/CD pipelines for analytics solutions.
  
  
• Need to know YOE with DeltaTable?
  Need to know YOE with PySpark / Databricks?
  Need to know any OOP experience?

• 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.

• Microsoft Certified: Fabric Data Engineer Associate
• Microsoft Certified: Azure Data Scientist Associate
• Microsoft Certified: Azure Data Fundamentals
• Google Professional Data Engineer
• Certified Data Management Professional (CDMP)
• IBM Certified Data Architect Big Data

• Design and develop scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.
• 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 for data solutions.
• 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.

This role requires authorization to work in the U.S. without current or future visa sponsorship.


All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws.

If applying for this role - Please take each key point and provide number of years experience and what you would rate yourself, 1 thru 10 (10 being expert) for each key point. Send your resume and notes on the role to expediate our recruiting services.

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