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Encora • Costa Rica
Role & seniority: Senior Software Development Engineer in Test (SDET)
Location & work type: Costa Rica, Hybrid
Stack/tools: dbt, Databricks, Docker, pytest; SQL; Python; Git; VSCode; data validation frameworks; experience with ETL, data warehousing, BI environments
Design, develop, and maintain end-to-end dbt testing strategies validating data transformations from bronze to gold
Collaborate with Business Stakeholders, Data Engineers, and Analytics Engineers to define testing scope and ensure data quality
Build, maintain, and optimize dbt models, unit/integration tests, and custom data validation frameworks; investigate failures and contribute to Agile ceremonies
7+ years in Quality Engineering with a data platform and automation focus
Strong SQL and Python scripting for automation/validation
Experience with data validation techniques, data quality frameworks, testing methodologies for data pipelines
Knowledge of testing strategies (Test Pyramid) and automated testing best practices
Experience with Git and modern development workflows
Knowledge of Power BI, Tableau, cloud environments, automation testing frameworks
Experience with data governance/compliance standards and broader data pipelines
Additional: Proven ability to drive continuous technical, process, and team improvements
Important Information
Location: Costa Rica
Work Mode: Hybrid Job Summary As a Senior Software Development Engineer in Test (19742), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. Responsibilities and Duties Design, develop, and maintain end-to-end dbt testing strategies, validating data transformations from bronze to gold layers using mocked and expected datasets Collaborate with business stakeholders, Data Engineers, and Analytics Engineers to define testing scope, ensure requirement traceability, and guarantee data quality standards Build, maintain, and optimize dbt models, unit tests, integration tests, and custom data validation frameworks within modern data platforms Investigate failed test cases, review pull requests, contribute to Agile ceremonies, and continuously identify opportunities to improve technical processes, quality standards, and team effectiveness Qualifications and Skills 7+ years of experience in Quality Engineering, with strong focus on data platforms and automation Strong understanding of data warehousing concepts, ETL processes, and BI environments Advanced proficiency in SQL and scripting languages such as Python for automation and validation Hands-on experience with data validation techniques, data quality frameworks, and testing methodologies for data pipelines Solid understanding of testing strategies, including the Test Pyramid and automated testing best practices Experience working with version control systems (Git) and modern development workflows Experience with dbt, Databricks, Docker, pytest, and development tools such as VSCode Strong analytical skills with the ability to translate engineering and analytics requirements into comprehensive testing strategies Proven track record of driving continuous technical, process, and team improvements
Nice to have: knowledge of data pipelines, Power BI, Tableau, cloud environments, automation testing frameworks, and data governance/compliance standards About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.