• Senior Data Engineer

    Insight Global (Charlotte, NC)


    Job Description

    Our client is looking for a Senior AWS Data Engineer to work on MDM project, an enterprise platform that creates a trusted view of business data. This role is hands-on and focused on building scalable data pipelines, improving data quality, and supporting entity resolution and ML-assisted matching. This is ideal for someone who enjoys working with large datasets and owning production-grade pipelines on AWS.

     

    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 [email protected] 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

    What You’ll Do

    • Build and maintain data pipelines on AWS

    • Develop ETL jobs using AWS Glue (PySpark) and Amazon EMR

    • Orchestrate workflows using Apache Airflow

    • Support full and incremental data processing

    • Implement data matching, deduplication, and entity resolution

    • Monitor, troubleshoot, and support production pipelines

    • Partner with analytics and business teams

    Required Skills

    • Strong AWS data engineering experience

    • Python and PySpark development

    • Hands-on with AWS Glue and Amazon EMR

    • Experience using Apache Airflow

    • Strong SQL skills

    • Experience working with large datasets

    • Familiarity with ML concepts for data quality or matching

    Experience

    • 6+ years of experience in data engineering or related roles Nice to Have

    • Experience with entity resolution, fuzzy matching, or deduplication

    • Experience with AWS Entity Resolution

    • Experience in Business MDM programs