Role & seniority: Data QA Engineer III (mid-level)

Stack/tools: SQL and relational databases; data testing tools (Talend Data Quality, Informatica Data Quality or equivalents); automated testing frameworks; scripting with Python

Top 3 responsibilities

Perform data validation/quality checks to ensure accuracy, consistency, and completeness for reporting/analytics/operations
Develop and run automated and manual data tests; collaborate with data engineers to design data quality frameworks (profiling, cleansing, monitoring)
Monitor data quality issues, document anomalies/resolutions, investigate root causes, and suggest process improvements while ensuring governance compliance

Must-have skills

Bachelor’s degree in CS, IS, Statistics, or related field
3–5 years in data quality assurance, data analysis, or related
Proficiency in SQL; experience with data testing tools; Python scripting
Strong analytical skills, attention to detail, and cross-functional collaboration

Nice-to-haves

Experience with Hadoop or Spark
Knowledge of GDPR/CCPA data governance/privacy
HPCC/ECL experience

Location & work type: Hybrid, Alpharetta, GA 30005, United States; 9 AM–5 PM EST; 12-month contract

Compensation: $47–$50/hour

Full Description

Title: Data QA Engineer III

Pay: $47-$50 an hour

Type: Hybrid Alpharetta Georgia 30005 United States

Duration: 12 months

Position Overview

We are seeking a skilled and detail-oriented Data Quality Assurance Analyst to join our team. In this mid-level role, you will be responsible for ensuring the accuracy, integrity, and reliability of data sets used across our organization. You will collaborate with various teams, including data engineers, the Operations team, and product managers to identify data quality issues, design testing strategies, and implement processes to maintain high standards of data quality. Additionally, this position requires working between 9 and 5 PM EST.

Key Responsibilities

Perform data validation and quality checks to ensure the accuracy, consistency, and completeness of data sets used in reporting, analytics, and operations.
Develop and execute automated and manual data testing processes to identify data inaccuracies and system defects.
Collaborate with data engineering teams to design and implement data quality frameworks, including data profiling, cleansing, and monitoring.
Work with cross-functional teams to understand business requirements and proactively address potential data-related challenges.
Create and maintain documentation related to data testing plans, anomalies, and resolutions.
Monitor and report on data quality issues and trends using tools and dashboards for visualization.
Investigate data integrity issues and assist in identifying root causes.
Provide recommendations for process improvements and best practices to enhance data quality across the organization.
Ensure compliance with data governance policies and standards.

Qualifications

Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
3–5 years of experience in data quality assurance, data analysis, or a related field.
Proficiency in SQL and experience with querying relational databases.
Hands-on experience with data testing tools (e.g., Talend Data Quality, Informatica Data Quality, or other similar tools).
Familiarity with automated testing frameworks and scripting languages such as Python.
Strong analytical skills and attention to detail, with the ability to identify and resolve data issues effectively.
Excellent communication skills and the ability to collaborate across technical and non-technical teams.

Data Quality Assurance Engineer