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Data Engineering Manager

Job in Greenville, Greenville County, South Carolina, 29610, USA
Listing for: Insight Global
Full Time position
Listed on 2026-08-15
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

Job Description

Insight Global is seeking a Data Engineering Manager to support a large banking client in Greenville, SC. This individual will lead a team of Data Engineers and Platform Engineers responsible for building and supporting enterprise data solutions. The Data Engineering Manager will oversee the design, development, and delivery of scalable data solutions while providing leadership and technical direction to the engineering team.

This role will play a key part in the organization's migration to Snowflake, including implementation of Data Vault 2.0 methodologies, data modeling standards, and modern data engineering practices.

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
  • 2+ years of people leadership experience
  • Strong SQL development experience
  • Experience with Snowflake
  • Experience with Data Vault 2.0 architecture
  • Experience designing enterprise-scale data solutions
  • Experience working in cloud-based data environments
  • Coalesce (similar tooling experience)
  • Financial services or banking experience
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