• Intermediate Data Engineer

    Insight Global (Houston, TX)


    Job Description

    Insight Global is currently seeking an Intermediate Data Engineer with a background in AI/Machine Learning to join one of our large oil and gas clients in Houston, TX. The ideal candidate will have experience in data transformation and visualization, specifically in creating and managing dashboards. Key responsibilities include designing and implementing ETL processes to ensure data is accurately extracted, transformed, and loaded into our systems. You will also be responsible for developing and maintaining data pipelines, ensuring data quality, and making data accessible for advanced analytics. Proficiency in tools like Power BI, Pyspark, and data lake architectures are required. This position will be hybrid, with 3 days in the office. The pay rate for this position will be between $40-50/hr.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

     

    Bachelor's degree in computer science, data science, or software engineering (or another applicable field)

     

    3-5 years of experience with machine learning/AI

     

    3-5 years of experience in Data Transformation (ETL)

     

    Experience working with Pyspark

     

    Experience in creating and managing dashboards using Power BI

    Experience utilizing Azure Data Lake and Lake House null

    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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].