Job Description
Insight Global looking for a Senior Data Engineer to design, build, and optimize cloud data pipelines that power analytics and business operations. In this role, you’ll develop robust ETL/ELT workflows using Python, Azure Data Factory (ADF), and Databricks, enabling reliable, scalable movement and transformation of data across platforms. You’ll partner with stakeholders to translate requirements into production-ready solutions and help evolve modern cloud-based data architecture and workflows
PR: 45-65/hr
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 HR@insightglobal.com.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/.
Required Skills & Experience
5+ years of experience in data engineering roles.
Strong proficiency in Python, especially for ETL development.
Hands-on experience with Azure Data Factory and Databricks.
Solid understanding of cloud-based data architecture and workflows.
Benefit packages for this role will start on the 1st 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.