Data Engineer

Job Description This person will be joining the Data Engineering team and will be supporting different projects. This person should have experience with using best practices in designing, building, and managing data pipelines, using ETL processes, performing root cause analysis on internal and external data and processes. This person should also have experience collaborating with technical peers, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery 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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 4+ years of experience in a data engineering or related role 3+ years of experience with SQL, Python, Pyspark, and Databricks Experience with ETL processes and ETL development tools Experience with data mapping, maintaining data pipelines, creating technical design documentation Experience writing, debugging and implementing moderately complex queries involving multiple tables or databases across platforms #J-18808-Ljbffr