Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Mid QA Engineer – Data & ETL Testing in the United States .

As a Mid QA Engineer, you will play a vital role in ensuring the accuracy, integrity, and reliability of enterprise data across complex data warehouse and cloud-based environments. You will work closely with data engineers, architects, and analysts to validate ETL processes, data pipelines, and reporting outputs. This role combines hands-on testing with opportunities to enhance QA automation frameworks and improve data quality processes. You will have a direct impact on delivering trustworthy data for business intelligence and analytics, helping stakeholders make informed, data-driven decisions. The position offers a collaborative, remote-friendly environment with opportunities to grow technical expertise in modern data platforms and testing practices.

Accountabilities

· Perform source-to-target data validation using SQL and automated testing approaches.

· Validate data transformations, ensure completeness, and confirm data accuracy across ETL pipelines.

· Test ETL workflows, dimensional models, and reporting outputs in BI tools such as Tableau or Power BI.

· Develop and execute data validation test plans, documenting and resolving data quality issues.

· Implement QA automation frameworks to streamline data testing and ensure repeatable results.

· Collaborate with business analysts, data engineers, and QA leads to define requirements and testing strategies.

· Prepare detailed reports on validation results, quality metrics, and findings to support decision-making.

Requirements

· Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

· 2–7 years of experience in data warehouse, ETL, or data testing roles.

· Strong proficiency in SQL, RDBMS, and ETL validation processes.

· Hands-on experience validating reports in BI tools like Tableau, Power BI, or equivalent.

· Understanding of Data Warehousing, ETL, and Data Quality concepts.

· Strong analytical skills, attention to detail, and problem-solving ability.

· Excellent communication and collaboration skills for working with cross-functional teams.

· Willingness to provide off-hour support if required.

Preferred / Additional Skills:

· Experience with SSIS, MS SQL Server, Snowflake, or DBT.

· Familiarity with QA automation tools and frameworks.

· Understanding of hybrid (on-premises and cloud) data architectures.

· Experience with insurance or financial data is a plus.

Benefits

· Competitive salary with performance incentives.

· Health, dental, and vision insurance.

· Flexible remote work with US East Coast collaboration hours.

· Paid time off and company holidays.

· Professional development and training opportunities.

· Exposure to modern ETL, data warehouse, and cloud data platforms.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps (such as interviews or additional assessments) are made by their internal hiring team.

Thank you for your interest!

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