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Magstatt-le-Bas

    Data Engineer - Omaha, United States - Insight Global

    Insight Global
    Insight Global Omaha, United States

    4 weeks ago

    Insight Global background
    Description
    Insight Global is seeking to bring on a Data Engineer.

    Qualified candidates should be able to:

    assemble large, complex sets of data that meet non-functional and functional business requirements, identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes, build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies, build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition, work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues, work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.


    Data Engineer skills and qualifications:

    Ability to build and optimize data sets, 'big data' data pipelines and architectures Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions Excellent analytic skills associated with working on unstructured datasets Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.


    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
    .

    Required Skills & Experience

    Insight Global is seeking to bring on a Data Engineer.

    Qualified candidates should be able to:

    assemble large, complex sets of data that meet non-functional and functional business requirements, identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes, build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies, build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition, work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues, work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.


    Data Engineer skills and qualifications:

    Ability to build and optimize data sets, 'big data' data pipelines and architectures Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions Excellent analytic skills associated with working on unstructured datasets Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.


    Nice to Have Skills & Experience


    • Ability to think outside of the box, innovating and enhancing how we test controls and Experience with risk and controls testing automation

    Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.

    Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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