Data Quality Engineer

Title: Data Quality Engineer - Onsite
Location: NYC, NY, USA/Tampa, FL, USA
Length: Long term
Restriction: W2 or C2C

Description:

Webcam interview Long term project Onsite

Description:

Job Description:

We are looking for a Data Quality Engineer (QE) to lead the design and automation of test frameworks and monitoring for enterprise-scale data pipelines. The role focuses on proactive data quality assurance across ETL, SQL, and cloud environments.

Key Responsibilities:

Automated Testing & Monitoring:

Design and develop automated data quality tests using SQL, Python, and testing frameworks.
Implement monitoring dashboards and alerts to detect anomalies.

ETL/Data Warehousing:

Perform data profiling and validation.
Maintain test data sets and build reusable frameworks.

CI/CD Integration:

Embed testing into CI/CD pipelines to enable continuous validation.

Collaboration & Reporting:

Work closely with engineers and product teams to align testing with business requirements.
Maintain data quality reports and metrics dashboards.

Project Environment:

Languages: Python, Java
Tools: SQL, Jenkins, Git
Methodologies: Agile
Data Platform: ETL, Data Warehousing

Required Skills & Qualifications:

3+ years of experience in automated data quality testing.
Proficient in SQL, Python, Java.
Experience in ETL pipelines and data warehousing.
Knowledge of Agile methodology and CI/CD integration.