Data Engineer

Associate Data Engineer – Analytics Engineering (Charlotte, NC) AssetMark is a leading wealth‑management platform dedicated to empowering independent financial advisors. We are hiring an Associate Data Engineer to join our data engineering team in Charlotte. The role offers an opportunity to accelerate a career in analytics engineering by building trusted data pipelines, transformations, and analytic data assets for the wealth‑management industry. Hybrid work schedule is required. Candidates must reside near the Charlotte, NC office. Key Responsibilities Build, test, and maintain dbt/SQL data transformations and pipelines that deliver reliable, analytics-ready datasets in Snowflake. Assist in developing dimensional models, curated data marts, and reusable data assets that support reporting, analytics, and business decision‑making. Implement data validations, tests, and clear documentation to improve data accuracy, completeness, consistency, lineage, and trust. Partner with analysts, data stewards, engineers, and business users to understand processes, clarify data requirements, and translate business needs into scalable data solutions. Apply analytical thinking to investigate data or tool issues, validate assumptions, resolve technical challenges, and propose practical solutions. Use Git‑based development workflows, including branching, pull requests, code reviews, and testing, to maintain high‑quality data code. Responsibly leverage and build AI‑assisted methods to accelerate SQL/dbt development, documentation, testing, and troubleshooting. Actively participate in agile ceremonies, retrospectives, knowledge-sharing sessions, and mentorship programs. Learn modern data governance and observability concepts, including lineage, ownership, freshness, schema health, and data reliability. Skills & Qualifications Solid foundation in SQL with demonstrated ability to analyze, transform, and validate data. Exposure to or interest in dbt, Snowflake, and modern analytics engineering practices. Experience with version control systems, especially Git, and collaborative workflows including branches and pull requests. Familiarity with Python for scripting, automation, or data manipulation. Basic understanding of data modeling, ETL/ELT concepts, data quality, and analytics/reporting workflows. Strong problem‑solving skills and ability to break down complex or ambiguous problems methodically. Excellent communication skills; able to discuss technical concepts clearly with technical and non‑technical audiences. Comfortable working with business users to understand processes, clarify requirements, and translate business needs into data requirements. Demonstrated commitment to continuous learning and professional growth. Familiarity with cloud platforms, especially Azure. Exposure to data governance, catalog, lineage, or observability tools such as Atlan or Monte Carlo. Interest in financial technology or wealth‑management domains. Experience & Education 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 encouraged. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, Business Analytics, or related technical field, or equivalent practical experience. Compensation Base salary range: $94,000 – $110,000 (depending on experience, skills, and location). Eligible for additional variable incentive compensation and competitive benefits. Legal authorization to work in the US required; no visa sponsorship available. Benefits Summary Competitive compensation and benefits package. Hybrid work schedule. Opportunity for professional growth and advancement. EEO Statement AssetMark is an equal‑opportunity employer. We are committed to building a diverse and inclusive workplace where everyone feels valued. Qualified applicants with disabilities should contact our human resources department. AssetMark values diversity of thought and background and is committed to building an inclusive workplace. #J-18808-Ljbffr