Insight Global is seeking a skilled Data Engineer to build efficient and scalable ETL processes using Snowflake, Databricks, Python, SQL, and Azure services to support analytics and reporting. The role involves leading the development of data ingestion frameworks, ensuring seamless integration across multiple systems while maintaining high data quality. Additionally, the candidate will enhance performance and reliability by optimizing queries and troubleshooting issues to ensure data availability and integrity. The ideal candidate will drive best practices in data engineering, including coding standards, version control, and automation.
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
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
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Experience leading and mentoring global engineering teams, setting technical direction, and fostering collaboration.
6 to 8 years of Data Engineering experience in building, deploying, scaling, and maintaining data pipelines.
Python, SQL, Snowflake, Airflow, Azure Data Factory, PySpark, ETL/ELT
DevOps Tools (Jenkins, Azure, GitLab) Version Control (Git)
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.