Senior Data QA Engineer (Remote - Latam) at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Assurance, Data Testing, Python, SQL, Snowflake, Postgres, dbt, AWS, S3, DynamoDB, Glue, Lambda, CI/CD, Git, Apache Airflow, Problem-Solving, Communication

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data QA Engineer in Latin America. In this role, you will ensure the reliability, accuracy, and integrity of complex data systems that power critical business processes. You will design and implement robust data testing strategies, debug and resolve quality issues, and maintain automated testing frameworks using modern tools like Python and dbt. Collaborating closely with data engineers and cross-functional teams, you will champion data quality best practices while contributing to scalable, high-impact projects. This role provides a remote-friendly, flexible environment where technical expertise, problem-solving, and innovation are highly valued, offering opportunities to influence the development of next-generation data products. Accountabilities Design, implement, and maintain data test strategies and automated frameworks to ensure data reliability. Conduct code reviews and provide feedback to improve data quality across pipelines. Debug data quality issues, identify root causes, and collaborate with data engineers to implement solutions. Drive adoption of best practices in data QA and promote continuous process improvements. Serve as a subject matter expert on projects involving complex datasets, including financial information. Collaborate with cross-functional teams to align QA processes and ensure consistent, high-quality data delivery. Proven experience in data quality assurance, data testing, or related roles. Expertise in Python and SQL (including Snowflake and Postgres). Proficiency with dbt for data modeling, transformations, testing, and quality validation. Strong knowledge of AWS services (S3, DynamoDB, Glue, Lambda) and CI/CD pipelines. Familiarity with test automation frameworks and source/version control systems (e.g., Git). Experience with Apache Airflow or similar ETL workflow orchestration tools. Excellent problem-solving, decision-making, and analytical skills. Strong communication and presentation abilities, with capability to influence cross-functional teams. Self-driven, continuous learner with experience coordinating solutions across multiple teams. Opportunity to join a rapidly growing organization with triple-digit growth. Flexible and fully remote working environment within Latin America. Work alongside a diverse, multicultural team of technology experts. Exposure to cutting-edge data technologies and scalable QA practices. Career development opportunities in a high-impact, collaborative environment. 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 three 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. This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

In this role, you will ensure the reliability, accuracy, and integrity of complex data systems. You will design and implement robust data testing strategies, debug and resolve quality issues, and maintain automated testing frameworks.