Data Engineer

• • • THIS ROLE IS 5 DAYS ONSITE IN ATLANTA. US CITIZEN OR GC HOLDER ONLY! • • • Project Overview This role supports a key data engineering workstream focused on building and maintaining enterprise-grade data pipelines in a modern cloud environment. The ideal candidate can ramp quickly, work independently, and operate effectively in a client-facing setting. Key Responsibilities • Design, build, and maintain scalable data pipelines and transformations • Develop and optimize data models within a cloud data ecosystem • Collaborate with cross-functional teams to support data integration and analytics needs • Ensure data quality, reliability, and performance across systems • Work directly with stakeholders in a client-facing capacity, translating requirements into technical solutions • Contribute to best practices around data engineering, automation, and workflow orchestration Required Skills & Experience • Strong proficiency in Python and SQL (must-have) • Hands-on experience with: • Snowflake • dbt (data build tool) • AWS Airflow (or similar orchestration tools) • Solid understanding of data pipeline architecture and ETL/ELT processes • Experience working in cloud-based environments • Ability to work independently and manage priorities in a fast-paced setting Preferred / Nice-to-Have • Exposure to AI/ML tools or workflows (not required) • Examples: AWS Bedrock, Snowflake ML • Familiarity with automation and AI-assisted data processes • Experience in pilot or early-stage AI initiatives is a plus