> Markdown version of [/jobs/ext/3253093-data-quality-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3253093-data-quality-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Analytics Engineer - **Company:** ClearBridge Technology Group - **Location:** Miami, FL, United States - **Experience:** Expert - **Salary:** $104,000.0 - $149,760.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Information Engineering, Data Governance, Data Profiling, Meta-Data Management, Software Construction, SQL Databases, Cloud Platform System, Snowflake, Git, Core Data, Data Lineage, Data Management, Dynamic Data, Software Version Control - **Published:** September 2, 2026 - **Apply:** https://www.dice.com/job-detail/22adda31-7091-4c0a-84dc-7f2c2782e105 ## About the Role * 5-7 years of experience in analytics, data engineering, data quality, or data management, including hands-on delivery on analytics projects and exposure to data quality, master data management, and/or data protection initiatives * Strong proficiency in SQL and Python for data analysis, quality rule development, and reconciliation across relational and cloud-native platforms * Working knowledge of core data quality concepts: profiling, rule authoring, exception management, reconciliation, and quality metrics * Understanding of master data management fundamentals - matching, survivorship, golden records, and hierarchy management * Solid understanding of data governance principles, data cataloging, metadata management, and data lineage * Experience defining data quality metrics and SLAs and reporting on data health to senior stakeholders * Strong adherence to software engineering best practices including version control (git), modular code design, Agile methodologies, and CI/CD pipelines Nice to have skills: * Hands-on experience with a data quality platform such as Ataccama ONE or Ataccama DQ for data profiling, quality rule authoring, and workflow management * Proficiency with Snowflake, including data quality patterns, dynamic data masking, and Snowflake's native data quality features * Experience working in AWS cloud environments and with services relevant to data quality and governance (S3, Glue, Lambda, Step Functions)