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# Data Quality Engineer

- **Company:** E-Solutions
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Profiling, Data Warehousing, Python (Programming Language), Metadata, Query Optimization, Reference Data, Standard Sql, Talend, Google Cloud, Snowflake, Pyspark, Data Pipelines
- **Published:** September 20, 2026
- **Apply:** https://www.dice.com/job-detail/506808fd-3d00-4835-9cee-4917fcec0f01

## About the Role

* Strong Data Quality Engineering & Validation experience.
 * Snowflake is mandatory - strong SQL, data profiling, tables/views, and query optimization.
 * Experience with ETL/ELT pipelines, data warehouses, and large datasets.
 * Strong understanding of data quality frameworks, including:
 + Data profiling & validation
 + Unit, integration & reconciliation testing
 + Completeness, accuracy, consistency, freshness & integrity checks
 + Data drift, duplicates, null patterns & business-rule validation
 * Experience with source-to-target mapping, crosswalks, master/reference data, and reconciliations.
 * Knowledge of Data Governance, metadata, lineage, audit & regulatory requirements.
 * Ability to perform root-cause analysis and implement preventive controls.
 * Experience building automated DQ checks, dashboards and reports.
 * Preferred: Great Expectations, dbt tests, Informatica DQ, Talend DQ.
 * Good to have: Python/PySpark, Azure/AWS/Google Cloud Platform, CI/CD.
 * Domain experience in Healthcare, Finance, or other regulated industries is a plus.
 * Strong analytical, communication, stakeholder-management, ownership, and problem-solving skills.

Data Quality Engineer1data warehouses,Data Quality Engineer,Snowflake is mandatory,ETL/ELT pipelines,and large datasets.N/AC2CUnited States



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