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# Associate Data Engineer

- **Company:** Asset Mark
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Code Review, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), SQL Databases, Snowflake, Grafana, Git, Git Flow, Data Management, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/associate-data-engineer-charlotte-nc-usa-58813970

## About the Role

solutions * Apply analytical thinking to troubleshoot data issues and propose practical solutions with guidance * Use Git-based workflows with code reviews, testing, and team standards for maintainable data code * Leverage AI-assisted methods to accelerate SQL/dbt development, documentation, testing, and troubleshooting * Participate in agile ceremonies and mentorship to grow professionally and technically * Learn and apply data governance and observability concepts, including lineage and schema health Tasks * Solid foundation in SQL for data transformation and validation * Exposure to dbt and Snowflake; interest in modern analytics engineering practices * Experience with Git and collaborative development workflows (branches, pull requests) * Familiarity with Python for scripting a plus * Basic understanding of data modeling, ETL/ELT concepts, and analytics workflows * Strong problem-solving skills and methodical approach to complex problems * Excellent communication to explain aaaaaaa

* concepts to both technical and non-technical audiences * Comfort working with business users to clarify requirements and translate them into data needs * Commitment to continuous learning and professional growth * Familiarity with cloud platforms, especially Azure, is a plus * Exposure to data governance, catalog, lineage, or observability tools (Atlan or Monte Carlo) is a plus * Interest in financial technology or wealth management domains is a plus Key requirements * hybrid work schedule * 401K with employer match * medical, dental, vision coverage * HSA employer contribution * Volunteer Time Off * Career Development / Recognition

## Description

Experteer Overview In this role, you will help transform raw data into reliable, analytics-ready datasets within Snowflake using SQL and dbt. You'll collaborate with analytics engineers and business users to shape data products that inform reporting and decision-making. You'll grow through guided mentorship while contributing to impactful projects in the wealth management domain. The opportunity combines hands-on data engineering with modern practices in governance, quality, and observability, all within a hybrid work setup near Charlotte. Compensation / Benefits * Build, test, and maintain dbt/SQL data transformations and pipelines for analytics-ready datasets in Snowflake * Assist in developing dimensional models and reusable data assets to support reporting and decision-making * Implement data validations, tests, and documentation to improve data quality and lineage * Collaborate with analysts, data stewards, engineers, and business users to translate requirements into scalable data solutions * Apply analytical thinking to troubleshoot data issues and propose practical solutions with guidance * Use Git-based workflows with code reviews, testing, and team standards for maintainable data code * Leverage AI-assisted methods to accelerate SQL/dbt development, documentation, testing, and troubleshooting * Participate in agile ceremonies and mentorship to grow professionally and technically * Learn and apply data governance and observability concepts, including lineage and schema health Tasks * Solid foundation in SQL for data transformation and validation * Exposure to dbt and Snowflake; interest in modern analytics engineering practices * Experience with Git and collaborative development workflows (branches, pull requests) * Familiarity with Python for scripting a plus * Basic understanding of data modeling, ETL/ELT concepts, and analytics workflows * Strong problem-solving skills and methodical approach to complex problems * Excellent communication to explain technical concepts to both technical and non-technical audiences * Comfort working with business users to clarify requirements and translate them into data needs * Commitment to continuous learning and professional growth * Familiarity with cloud platforms, especially Azure, is a plus * Exposure to data governance, catalog, lineage, or observability tools (Atlan or Monte Carlo) is a plus * Interest in financial technology or wealth management domains is a plus Key requirements * hybrid work schedule * 401K with employer match * medical, dental, vision coverage * HSA employer contribution * Volunteer Time Off * Career Development / Recognition


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