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Azure Data Engineer

Avanade

  • Chicago, Illinois
  • 3 days ago

    Highlights

    A qualified applicant's experience must include the following skills: 5 years of experience performing data engineering, warehousing, publishing and visualization throughout the full data lifecycle; 3 years of experience performing data profiling, cataloguing and mapping to enable the design and build of technical data flows; 3 years of experience defining ETL architecture and ETL process design; 3 years of experience performing end-to-end implementation of data warehousing analytics solutions built on MS or Azure platforms; 4 years of experience working with Azure; and 3 years of experience using DPM specific tooling including: Spark, Python, Databricks, Azure Synapse, SQL Server, Azure Data Lake, and/or Azure Data Factory (ADF). The position requires at least a bachelor’s degree, or its foreign equivalent, in Computer Science, Mechanical Engineering, Applied Mathematics, Statistics, or Machine Learning, or a closely related field, and at least five (5) years of experience as an Azure Data Engineer, or in a similar role in a technology or consulting environment.

    Numbers & Facts

    LocationChicago, Illinois
    IndustryComputer Software
    Company Size10,000 employees or more
    Websitehttps://www.avanade.com/en-us/career

    Description

    Job Description:

     

    [MULTIPLE POSITIONS] Avanade Inc. seeks Azure Data Engineers in Chicago, IL to deliver analytics and data engineering solutions to our clients. In this role, you will: design and set-up projects that bring together information from a variety of sources to enable analysis and decision-making; utilize personal knowledge to plan and deliver data warehouse and storage; take part in designing and running bespoke data services to individual projects; design, develop, adapt, and maintain data warehouse architecture and relational databases to support data mining; customize storage and extraction, meta-data, and information repositories; create and use effective metrics and monitoring processes; monitor key performance indicators to determine where current operations can be improved, and identify the causes of any problems; create the building blocks for transforming enterprise data solutions; design and build modern data pipelines, data streams, and data service Application Programming Interfaces (APIs); and create and maintain report forms and formats, information dashboards, reports, as well as other information portals and resources. Periodic travel to client sites (domestic) is expected up to 60% of the time. Must live w/in reasonable commuting distance of Chicago, IL. The offered salary range for this specific position in IL is $133,058.00 to $139,500.00 per year. Any multi-state or general compensation ranges displayed below do not apply to this position.

     

    We anticipate this job posting will be posted on 11/03/2026 and open for at least 30 days.

     

    Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: www.avanade.com/en-us/career/benefits

    .

    Basic Qualifications:

     

    The position requires at least a bachelor’s degree, or its foreign equivalent, in Computer Science, Mechanical Engineering, Applied Mathematics, Statistics, or Machine Learning, or a closely related field, and at least five (5) years of experience as an Azure Data Engineer, or in a similar role in a technology or consulting environment. A qualified applicant's experience must include the following skills: 5 years of experience performing data engineering, warehousing, publishing and visualization throughout the full data lifecycle; 3 years of experience performing data profiling, cataloguing and mapping to enable the design and build of technical data flows; 3 years of experience defining ETL architecture and ETL process design; 3 years of experience performing end-to-end implementation of data warehousing analytics solutions built on MS or Azure platforms; 4 years of experience working with Azure; and 3 years of experience using DPM specific tooling including: Spark, Python, Databricks, Azure Synapse, SQL Server, Azure Data Lake, and/or Azure Data Factory (ADF).

     

    Candidates who are interested in this position should select “Apply” below.


    Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

     

    We anticipate this job posting will be posted on 11/03/2026 and open for at least 30 days.

     

    Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

     

    See more information on our benefits here: Benefits and Total Rewards | Avanade United States

     

    California - $131,200 - $161,500

    Cleveland - $117,600 - $139,650

    Colorado - $117,600 - $139,650

    District of Columbia - $136,000 - $161,500

    Illinois - $131,200 - $155,800

    Maine - $117,600 - $139,650

    Maryland - $136,000 - $161,500

    Massachusetts - $136,000 - $161,500

    Minnesota - $117,600 - $139,650

    New York / New Jersey - $144,000 - $171,000

    Virginia - $117,600 - $139,650

    Washington - $136,000 - $161,500

    .

    About Company

    At Avanade, our vision is to be the leading digital innovator, creating great experiences as we realize results for our clients and their customers through the power of people and the Microsoft ecosystem. Through thousands of projects, we’ve transformed businesses for the digital world. We’ve helped them create compelling experiences for their customers and employees. We’ve reduced costs, increased productivity, enabled collaboration and enhanced agility – and ultimately improved performance.

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