Associate Data Engineer

About the role

The Opportunity We are seeking a talented Associate Data Engineer, Analytics Engineering to join our data engineering team in Charlotte.

Responsibilities

• Build, test, and maintain dbt/SQL data transformations and pipelines that deliver reliable, analytics-ready datasets in Snowflake
• Data Modeling: Assist in developing dimensional models, curated data marts, and reusable data assets that support reporting, analytics, and business decision-making
• Data Quality & Documentation: Implement data validations, tests, and clear documentation to improve data accuracy, completeness, consistency, lineage, and trust
• Business Collaboration: Partner with analysts, data stewards, engineers, and business users to understand processes, clarify data requirements, and translate business needs into scalable data solutions
• Problem Solving: Apply analytical thinking to investigate data or tool issues, validate assumptions, resolve technical challenges, and propose practical solutions with appropriate guidance
• Engineering Practices: Use Git-based development workflows, including branching, pull requests, code reviews, testing, and team standards for maintainable data code
• AI-Enabled Engineering: Responsibly leverage and build AI-assisted methods to accelerate SQL/dbt development, documentation, testing, and troubleshooting
• Continuous Improvement: Actively participate in agile ceremonies, retrospectives, knowledge-sharing sessions, and structured mentorship to develop professional and technical skills
• Governance & Observability Exposure: Learn modern data governance and observability concepts, including lineage, ownership, freshness, schema health, and data reliability

Qualifications & Experience

• 0-3 years of experience in data engineering, analytics engineering, business intelligence, data analysis, software engineering, or a related technical role; recent graduates with relevant project work or internships are encouraged to apply
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, Business Analytics, or related technical field, or equivalent practical experience