Insight Global
Remote GCP Data Engineer
Insight Global is seeking a remote GCP Data Engineer to support a large healthcare client. This person will be supporting the roster migration within the network and providers team. This role involves moving data in and out of the GCP cloud. Day-to-day responsibilities include getting hands-on with Spark tools to manage BigQuery data, using Airflow to create tables, writing units in PySpark to support ETL development, and supporting best DevOps practices (CI/CD pipeline). 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 Human Resources Request Form. Skills and Requirements: 4+ years of experience as a Data Engineer Experience in designing and developing cloud-native data pipelines in GCP ETL experience using BigQuery, Dataproc, and Cloud Composer Strong SQL and PySpark skills Ability to support CI/CD pipelines
Insight Global is seeking a remote GCP Data Engineer to support a large healthcare client. This person will be supporting the roster migration within the network and providers team. This role involves moving data in and out of the GCP cloud. Day-to-day responsibilities include getting hands-on with Spark tools to manage BigQuery data, using Airflow to create tables, writing units in PySpark to support ETL development, and supporting best DevOps practices (CI/CD pipeline). 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 Human Resources Request Form. Skills and Requirements: 4+ years of experience as a Data Engineer Experience in designing and developing cloud-native data pipelines in GCP ETL experience using BigQuery, Dataproc, and Cloud Composer Strong SQL and PySpark skills Ability to support CI/CD pipelines