Data Engineering Lead - Atlanta, GA

Nexus Circular is the commercial leader in advanced recycling technology that converts landfill-bound plastics into circular feed stocks to produce sustainable virgin plastics for packaging and other applications. Nexus Circular’s end-to-end solution is economically validated as demonstrated by consistent bulk sales of high quality, ISCC Plus circular feed stocks for virgin plastic production. Aligned with global partners who seek proven scalable solutions to meet ambitious plastic circularity goals, Nexus Circular is rapidly expanding its innovation footprint worldwide, moving decisively to address the complex challenges of plastics accumulation in the environment.

Nexus has built an outstanding culture. We are looking for people to contribute to a fast-paced, environmentally committed business that is focused on growth and sustainability. We are very collaborative, transparent, data driven, value diverse perspectives and are looking for constructive initiatives and new ideas. We are looking for self-starters and independent thinkers who work collaboratively in teams. Given the growth stage of Nexus, we are also looking for people who are comfortable moving between strategic thinking and executing those ideas to take Nexus to the next level.

The Data Engineering Lead is responsible for designing, building, and maintaining the organization’s data infrastructure. This role ensures enterprise data is properly ingested, transformed, validated, and delivered for analytics and decision-making.

The mission of the role is to create reliable, scalable, and trusted data pipelines that enable accurate reporting and confident business decisions. Key strategic priorities include leading enterprise Lakehouse implementation and migration, modernizing data platforms and pipelines, and establishing a high-quality data foundation to support dashboards, advanced analytics, and AI initiatives.

• Design and maintain enterprise data architecture, including Nexus Circular’s centralized data strategy
• Build and manage scalable ETL/ELT pipelines and data workflows
• Develop and optimize data transformations and models
• Ensure data quality, consistency, and reliability across systems
• Implement best practices for data engineering, governance, and performance
• Support analytics and reporting teams with clean, structured data
• Integrate new data sources and systems into the enterprise platform
• Partner with stakeholders to translate business needs into technical solutions
• Lead technical execution of advanced analytics and AI-enablement initiatives

• Bachelor’s degree required in Computer Science, Data Science, Engineering, or related field
• Master’s degree preferred in Data Science, Analytics, Computer Science, Engineering, or equivalent
• 8+ years of professional data engineering experience
• Strong expertise in SQL and modern data platforms
• Proven experience building production-grade data pipelines
• Deep understanding of data modeling, transformations, and orchestration
• Experience implementing enterprise data architectures
• Working knowledge of database management

• Experience with Lakehouse architectures and large-scale migrations
• Background in manufacturing or operational data environments
• Familiarity with analytics tools and BI platforms
• Experience enabling AI/ML data workflows

• Technical leadership and architectural thinking
• Strong problem-solving and troubleshooting skills
• Attention to data integrity and quality
• Ability to collaborate across the organization

• Eligible to contribute to Company’s Traditional 401(k) and Roth 401(k) upon hire with Company Contribution
• Multiple comprehensive coverage levels for Medical, Dental, & Vision
• Group Health & Wellness Program, plus special savings on retail items, travel, entertainment, and more through Insperity Works
• Flexible Spending Accounts and Health Savings Accounts
• Basic and AD&D Life Insurance
• Voluntary benefits, including short-term and long-term disability insurance, accident, critical illness, and hospital confinement insurance.

Note:

The above statements are intended to describe the general nature and level of work being…