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    Data Engineer - Dallas, United States - Insight Global

    Insight Global
    Insight Global Dallas, United States

    3 weeks ago

    Insight Global background
    Description
    Insight Global is seeking a Data Engineer in Mexico for one of our top manufacturing clients. This candidate can sit anywhere fully remote in Mexico. In this role you will be joining the Corporate Enterprise Data Engineering Team. As an engineer you will need to have professional experience in data integration, data transformation and developing data pipelines.

    You will be designing data models and data storage solutions in an Azure cloud environment, need to have proficiency in Python as a programming language along with Scala and some Java, be able to build processes to support data transformation, data structures, metadata, dependency, and workload management, experience with API based data management and acquisition and communicate technical and business acumen in both Spanish and English proficiently.



    Day to Day:

    • Design data models and data storage solutions in the cloud (Azure)
    • Program with languages commonly used in data engineering: Python (primary), Java, or Scala
    • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
    • API based data acquisition and management
    • Conduct data storage and processing technologies including (Hadoop, Spark, Kafka, SQL databases)
    • Work with data scientists to facilitate technical design of complex data sourcing, transformation, and aggregation logic, ensuring business analytics requirements are met
    • Work with big data pipelines to develop streaming analytics
    • Utilize business intelligence data visualization tools and techniques to translate business analytics into solutions
    • Work with parallel processing / multithreading and compute optimization
    • Communicate in an articulate and poised manner technical / business information
    Collaborate with management to prioritize business and information needs


    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


    What you'll need:
    * 5+ years of experience as a data engineer


    • Proficiency in programming language Python
    • In depth understanding of data modeling
    Fluent in English and Spanish


    • Strong experience with cloud-based data solutions, particularly Azure
    • Familiarity with parallel processing, multithreading, and compute optimization
    Experience with Databricks

    Nice to Have Skills & Experience


    Nice to have:

    • Experience with Palantir Foundry software deployment
    • Expertise in designing cloud solutions across platforms like Azure, AWS, and Google, Azure preferred
    Knowledge of programming languages Java, or Scala

    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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