Data Quality Engineer: ETL Validation & Automation

Compunnel, Inc.; New Jersey; On-site; USD 85,000 - 110,000; Full time

Job summary

A technology solutions provider is seeking an experienced Data QA Engineer to ensure data reliability across various processes. The role focuses on testing and validating data pipelines, automating quality checks, and collaborating with data engineers and analysts. The ideal candidate should have at least 6 years of experience and strong proficiency in SQL and Python, with a focused approach towards data integrity and governance. This position is located in New Jersey, United States.

Qualifications

• 6–10+ years in data QA, data engineering, or related roles.
• Strong proficiency in SQL for complex queries.
• Expertise in Python, especially with Pandas and PySpark.
• Hands-on experience with data warehousing and cloud platforms like AWS, Azure, or GCP.

Responsibilities

• Design and execute tests for data ingestion, transformation (ETL/ELT), and storage.
• Analyze data structures, identify anomalies, and monitor quality issues.
• Build automated test frameworks using Python, Pytest, and SQL.
• Create and implement data quality rules and metrics.
• Collaborate with data engineers, analysts, and stakeholders.

Skills

SQL (complex queries)

Python (Pandas, PySpark)

Data warehousing and cloud platforms (AWS, Azure, GCP)

BI tools (Tableau, Power BI)

Data governance

Attention to detail

Problem-solving ability

Job description

A technology solutions provider is seeking an experienced Data QA Engineer to ensure data reliability across various processes. The role focuses on testing and validating data pipelines, automating quality checks, and collaborating with data engineers and analysts. The ideal candidate should have at least 6 years of experience and strong proficiency in SQL and Python, with a focused approach towards data integrity and governance. This position is located in New Jersey, United States.