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Data Engineer Jobs in Illinois

Azure Data Engineer

Applab Systems Inc

  • Bolingbrook, IL
  • 19 days ago
  • Remote

    Highlights

    Platforms Snowflake; Azure Data Factory; Azure Data Lake Storage Engineering Advanced SQL; Python; ETL/ELT; pipeline orchestration Architecture Data warehousing; dimensional modeling; medallion architecture Operations Performance tuning; data quality; observability; production support Delivery Git; CI/CD; automated testing. Agile delivery Experience and Delivery Profile 10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.

    Numbers & Facts

    LocationBolingbrook, IL (
    Remote    )

    Description

    JOB DETAIL

    Job Title : Azure Data Engineer / Senior Data Engineer Consultant
    Job Location : Remote
    Job Duration : 6 month(s)+ (Contract)
    Employment Type: W-2 Only

    Mandatory skills :
    • Snowflake
    • Azure Data Factory
    • Azure Data Lake Storage
    Detailed Job Description:
    • Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products.
    • The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery. Core Responsibilities
    • Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
    • Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
    • Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
    • Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
    • Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
    • Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
    • Comfortable using AI to develop using specs - design, code, build, and review production grade pipelines. Required Technical Skills
    • Platforms Snowflake; Azure Data Factory; Azure Data Lake Storage Engineering Advanced SQL; Python; ETL/ELT; pipeline orchestration Architecture Data warehousing; dimensional modeling; medallion architecture Operations Performance tuning; data quality; observability; production support Delivery Git; CI/CD; automated testing.
    • Agile delivery Experience and Delivery Profile 10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
    • Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
    • Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
    • Demonstrated focus on automation, scalability, maintainability, and measurable business value.
    • Preferred Experience Power BI, semantic modeling, or analytics enablement. Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
    • AI-assisted development, agentic workflows, and modern data product architectures.
    • Commercial, customer, quality, field-service, or operational reporting data products.

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