Data Quality Analytics Engineer

Our client, a real estate company, is in need of a Data Quality Analytics Engineer for a three-month contract-to-hire position. The Data Quality Analytics Engineer sits at the intersection of four disciplines most companies keep in separate silos: data quality, master data management (MDM), data protection, and analytics. The position sits in the client's Data & AI team, which exists to turn data into better business outcomes. You will design and operationalize enterprise-grade data quality and MDM frameworks, extend them into how sensitive data is classified and protected, and build the analytics that tell the organization how healthy its data actually is. You will also get to work at the front edge of applied AI - using AWS Bedrock, agentic AI patterns, and MCP connections to automate data trust monitoring and remediation at a scale no manual process can reach.
Required skills:

• 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
• PowerBI or similar reporting experience
• Experience working in AWS cloud environments and with services relevant to data quality and governance (S3, Glue, Lambda, Step Functions)

ClearBridge Technology Group is an Equal Opportunity Employer.
We offer excellent benefits and compensation packages.
The expected hourly rate range for this role is $50-72 per hour.
The posted range is an estimate, the actual compensation offer will be based on the candidate's experience, skills, qualifications and will be in line with internal equity.