Important Information:

Years of Experience: 7+ years
Job Mode: Full-time
Work Mode: Remote within Mexico

Job Summary:

We are seeking a highly experienced Software Development Engineer in Test (19742) with a strong background in data quality, analytics testing, and data engineering validation within the insurance industry. This role focuses on ensuring high-quality data across modern data platforms by defining, implementing, and maintaining robust testing strategies across the full data lifecycle—from raw ingestion to curated analytical layers. The ideal candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.

Responsibilities and Duties:

Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers.
Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases.
Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.
Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.
Gain a deep understanding of the repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes.
Investigate failed tests, perform root cause analysis, and support defect resolution.
Review pull requests to ensure adherence to testing standards and data quality best practices.
Actively participate in Agile ceremonies, providing quality insights and recommendations.
Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value.
Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

Qualifications and Skills:

7+ years of experience in Quality Engineering, with a strong focus on data-centric testing.
Proven experience working within the insurance industry (required).
Strong understanding of data warehousing concepts, ETL processes, and BI platforms.
Solid knowledge of testing strategies, the Test Pyramid, and version control systems.
Proficiency in SQL and scripting languages such as Python.
Excellent communication, collaboration, and stakeholder management skills.
Demonstrated ability to drive continuous improvement across technology, processes, and people.
Strong leadership skills with experience guiding teams and influencing quality standards.

Role-specific Requirements:

Hands-on experience designing and executing data validation strategies across complex data pipelines.
Ability to translate business and analytical requirements into effective testing solutions.
Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance.
Comfortable working in fast-paced, Agile environments.

Technologies:

dbt
Databricks
Pytest
SQL
Python
Git
Docker
VSCode
BI tools (Power BI, Tableau – nice to have)
Cloud environments (AWS, Azure, or GCP – nice to have)

Skillset Competencies:

Data Quality & Validation
End-to-End Data Testing
Test Strategy & Automation
Analytical Thinking
Leadership & Mentorship
Cross-functional Collaboration
Continuous Improvement Mindset
Business Value Awareness

About Encora:

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

SDET

AI overview