Data Engineer

Fireseeds; Marietta (GA); On-site; USD 100,000 - 140,000; Full time

Job summary

C.W. Matthews is seeking a Data Engineer to design and build the first enterprise data architecture, pipelines, models, and reporting infrastructure.

This is a hands-on role combining architecture with practical implementation to enable data-driven decision-making across the company. The ideal candidate will have strong SQL, data modeling, and experience with ETL/ELT pipelines, ERP integrations, and lakehouse technologies, with a proactive, self-starting mindset.

Qualifications

• Advanced SQL and data modeling proficiency.
• Experience building ETL/ELT pipelines and integrating ERP or complex operational systems.
• Knowledge of data warehouse, lake, or lakehouse architectures.
• Ability to translate complex data into practical business insight.

Responsibilities

• Design our first enterprise data architecture and build pipelines, models, and reporting infrastructure.
• Collaborate with stakeholders to turn raw data into actionable insights for leaders across the organization.
• Own both architecture and hands-on implementation to deliver foundational data capabilities.

Skills

Advanced SQL

Data modeling

ETL/ELT pipelines

ERP integration

Data warehouse/lakehouse

Business insight

Ambiguity handling

Job description

C.W. Matthews is hiring a Data Engineer to help build the future of how one of Georgia’s leading heavy highway contractors uses data.

For nearly 80 years, C.W. Matthews has helped build the roads, bridges, airport runways, and infrastructure that keep Georgia moving. As the company continues to grow, we’re making a significant investment in turning our operational data into timely, actionable insight for leaders across the organization.

This is a unique opportunity to build something foundational from the ground up. The Data Engineer will help design our first enterprise data architecture and then personally build the pipelines, models, and reporting infrastructure that bring it to life.

We’re looking for someone with:

• 7 years of data engineering or architecture experience
• Advanced SQL and strong data modeling skills
• Experience building ETL/ELT pipelines and integrating ERP or complex operational systems
• Knowledge of data warehouse, lake, or lakehouse architecture
• The ability to translate complex data into practical business insight
• A self-starter mentality and comfort creating structure within ambiguity

The ideal candidate is both an architect and a builder—someone who can see the big picture but still enjoys getting into the details and doing the hands-on work.

This position is based in-office in Marietta, Georgia.