Data Quality Engineer

Data Engineer (Data Bricks Experience).Dallas, Texas.Contract Position.Atleast 12 + years of experience needed.Key ResponsibilitiesValidate batch and streaming data pipelinesfor correctness, completeness, consistency, and timeliness.Create and maintain data quality checks(nulls, duplicates, schema drift, referential integrity).Verify business rules and transformationsusing SQLbased validations.Design, develop, and executetest strategiesfor Databricks-based data pipelines and analytics workflowsE

Description Your role at GEI. The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence. The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion p

Job SummaryWe are looking for a highly experienced Data Quality Engineer with a strong background in Data Engineering and enterprise-scale data quality initiatives. The ideal candidate will have 10+ years of experience designing, building, and maintaining robust data pipelines and implementing comprehensive data quality frameworks across large data ecosystems. This role requires excellent communication and stakeholder management skills, as the candidate will work closely with business teams, dat

Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the center of the business, building scalable systems, solving complex technical problems and turning data into action. In data enginee