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# Data Engineering Manager

- **Company:** Insight Global
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Snowflake, Information Technology, Data Management, Data Pipelines, Databricks
- **Published:** September 13, 2026
- **Apply:** https://dejobs.org/x/x/53D55B86B97148EAA02E5FBF36D8B426/job/

## About the Role

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field

5+ years of experience building and supporting data platforms, analytics, BI, or data engineering solutions

2+ years of leadership and people management experience

Strong expertise in data architecture, data modeling, cloud platforms, and modern data engineering practices

Hands-on experience with Databricks, AWS, Snowflake, Airflow, Sigma Computing, or similar technologies

Proven success leading enterprise-scale data initiatives and driving business outcomes

Strong stakeholder management and cross-functional collaboration skills

Excellent communication, leadership, problem-solving, and prioritization skills Logistics, transportation, or supply chain industry experience

Experience supporting AI-enabled decision-making initiatives

Exposure to data governance, lineage, and regulatory compliance (GDPR/SOX)

Experience managing global engineering teams

## Description

Insight Global is seeking a Manager of Data Engineering for a top logistics and supply chain client. This candidate will lead the strategy, architecture, and delivery of enterprise-wide data engineering initiatives that support analytics, automation, operational visibility, and AI-driven decision making. The ideal candidate will combine strong technical expertise in modern cloud data platforms with proven leadership experience, guiding a team of engineers while partnering closely with business and technology stakeholders. This individual will play a key role in advancing a modern data ecosystem, delivering scalable data products, and enabling data-driven growth across a complex global organization.


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