Azure Data Engineer Job at Motion Recruitment, Elgin, IL

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  • Motion Recruitment
  • Elgin, IL

Job Description

We’re searching for a Data Engineer with deep Azure expertise to help power a growing enterprise’s digital transformation. You’ll work with modern Azure tools— Data Factory, Synapse, Databricks, Data Lake, and Azure SQL —to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to advanced AI and RAG-based applications .

This role is about more than just building data pipelines—it’s about solving hard problems at scale and working at the intersection of data, AI, and business strategy . You’ll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If you’re excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiatives—this is your kind of challenge.

Contract Duration

Required Skills & Experience

  • 3–5 years of professional data engineering experience
  • Proven hands-on work with Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL
  • Strong SQL, Python, and/or Spark skills
  • Experience building and managing robust ETL/ELT pipelines
  • Familiarity with Azure RBAC, encryption, and regulatory frameworks like GDPR or HIPAA
  • Experience with CI/CD, version control (Git), and tools like Azure DevOps
  • Strong data modeling, transformation, and performance optimization skills

Desired Skills & Experience

  • Experience with real-time streaming (e.g., Event Hubs, Kafka, IoT Hub)
  • Exposure to Azure ML, OpenAI, or other AI/ML frameworks
  • Background in BI tools like Power BI or Tableau
  • Familiarity with data governance, metadata management, and quality assurance
  • Bonus points for experience in manufacturing or service industries

What You Will Be Doing

Tech Breakdown

  • 60% - Azure Data Factory, Synapse, Databricks, Data Lake, Azure SQL
  • 20% - Azure DevOps, Git, Terraform, CI/CD pipelines
  • 20% - BI and AI enablement, including integration with RAG and Azure ML

Daily Responsibilities

  • 60% - Data pipeline development and cloud architecture
  • 20% - Performance tuning, data governance, and security
  • 20% - Collaboration with data scientists, DevOps, and business stakeholders

Posted By: Ben Farsolas

Job Tags

Full time, Contract work,

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