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INTL- Data Scientist-ETL & Starburst

Insight Global - Cary, NC

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Job Description

Job Description Insight Global is seeking a Data Scientist for a top financial services client to support the growth of new technology initiatives and enterprise data capabilities. This role will focus on enabling scalable data access through data virtualization, supporting ETL processes, and working closely with DevOps teams to deliver reliable, high-performing data solutions. The ideal candidate has a strong development mindset, experience with modern data platforms, and is comfortable working in a distributed, offshore/onshore environment. This is a contract-to-hire opportunity offering long-term impact and exposure to enterprise-scale data initiatives. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Strong experience with Data Virtualization Proficiency in Python Hands-on experience with ETL pipelines Experience using Starburst Experience using Dremio Data Observatory experience Experience supporting DevOps-related projects Strong data engineering / development background Experience in financial services or insurance Exposure to large-scale enterprise data platforms Experience working in offshore/onshore delivery models Familiarity with cloud-based data architectures Experience supporting modern analytics or reporting platforms

Created: 2026-04-13

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