Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Data Quality Engineer for a remote contract role. The position focuses on data quality engineering and validation across Snowflake, ETL/ELT pipelines, data warehouses, and large datasets, including automated quality checks, governance, reconciliations, and root-cause analysis.
Responsibilities
- 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
Skills
- **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**
- Strong **analytical, communication, stakeholder-management, ownership, and problem-solving skills**
- **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
Benefits
- Remote work arrangement
Company Overview
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