Data Quality Engineer

Data Quality Engineer

Location: Montgomery, AL

Onsite Flexibility: Onsite

• Position Type: Right to Hire
• Contract Duration: Through 9/30/26 (with extension possibility; long-term, one-year renewable with eventual conversion to merit)
• Start: 6/15/26
• Pay Rate: $73.00–$73.01 / Hour (USD)
• Travel Requirements: Not required
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

A Data Quality Engineer with strong data analyst capabilities and deep technical skills in SQL, Purview, Data Pipelines, and Data Modeling, plus experience in cloud data environments, automated testing, and collaboration with analytics and engineering teams. This role ensures data is not only clean but also ready to support advanced analytics and AI applications. The candidate must be able to navigate an environment with low/no data maturity.

• Must be able to navigate an environment with low/no data maturity
• Data Profiling & Cleansing: Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity
• SQL Proficiency: Write complex queries to validate data accuracy, perform transformations, and generate reports (SSIS – ETL/ELT)
• Python & Other
  
  Languages:
  
  Python is widely used for automation, data validation, and integration with analytics pipelines; SQL is essential for querying and reporting
• Data Modeling & Warehousing: Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles
• Cloud & Modern Data Stack: Experience with cloud platforms (AWS, GCP, Azure), modern data warehouses (Snowflake, Big Query), and tools like Spark, Kafka/Kinesis, Hadoop, or S3
• Data Testing & Observability: Design and deploy automated data testing at scale; use observability platforms for real-time monitoring

• Data Quality Standards & Metrics: Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency
• Root Cause Analysis: Identify why data issues occur (ETL bugs, user input errors, system failures) and implement fixes
• Collaboration with Data Scientists: Work with ML/data science teams to ensure training data is clean and reliable
• Statistical & Trend Analysis: Interpret patterns in large datasets to inform quality improvements

• Stakeholder Engagement: Gather requirements from business, engineering, and analytics teams; advocate for data quality across the organization
• Problem-Solving & Attention to Detail: Spot and resolve data issues efficiently; maintain high precision in validation
• Documentation: Record quality issues, processes, and improvements for transparency and compliance

• Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3
• Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms
• Collaboration: Jira, Snowflake, or other data governance platforms

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

• Candidate will work 100% in Montgomery, AL; no remote work allowed
• Standard background check required
• Interview format: video or in person based on location
• Confirmation needed if candidate is eligible for conversion to merit

GTT is a minority‑owned staffing firm and a subsidiary of Chenega Corporation, a Native American‑owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.