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Data Engineer

Job

Insight Global

Charlotte, NC (In Person)

Full-Time

Posted 2 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/14/2026

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Job Description

Job Description Key Responsibilities
  • Design, build, and optimize scalable data pipelines using Python, Spark, and Airflow
  • Lead development of ETL/data transformation frameworks supporting AI/ML use cases
  • Partner with engineering and AI teams to enable data readiness for Copilot/AI applications
  • Write clean, high-quality, and well-tested code aligned with enterprise standards
  • Ensure solutions meet functional, non-functional, and compliance requirements
  • Drive performance optimization and scalability within Spark-based environments
  • Act as a technical SME—mentoring team members and influencing architecture decisions
  • Support integration of data solutions into enterprise systems with robust interfaces Bank of America's DREAM organization (Global Technology) is seeking a Senior Data Engineer (SME-level) to support a high-impact AI Copilot Agent initiative.
This is a hands-on individual contributor role requiring deep technical expertise and the ability to lead from the front—guiding design, development, and best practices across the team. This is not a learning role—the team needs a strong SME who can immediately own complex data engineering efforts and elevate overall 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 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/. Skills and Requirements
  • 7+ years of experience in Data Engineering / Big Data development
  • Advanced Python expertise (data pipelines, data processing, scripting)
  • Deep, hands-on Apache Spark experience (critical requirement)
  • Strong experience building ETL pipelines and large-scale data transformations
  • Hands-on experience with Apache Airflow for orchestration
  • Proven ability to operate as a senior SME—leading workstreams and guiding teams
  • Experience working in large enterprise environments with strong SDLC practices
  • Experience supporting AI/ML or Copilot-type initiatives
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Experience with large-scale financial services or regulated environments