Responsibilities
- Write complex T-SQL queries to validate data, including duplicates, joins, keys, execution order, and reconciliation.
- Test ETL pipelines and data warehouses from source to target, including transformations, completeness, and end-to-end flows.
- Perform automated, API, accessibility, performance, load, and data completeness testing.
- Validate SSRS and Power BI reports against SQL queries rather than building the reports.
- Define testing plans and strategies, identify edge cases and risks, and recommend acceptance-criteria improvements.
- Guide QA priorities during sprints, track progress, reduce QA rework, and support delivery commitments.
- Document risks and blockers, advance testing best practices, and mentor junior team members.
- Present testing plans, metrics, insights, and proposed improvements to client stakeholders.
- Conduct recruiting interviews and evaluate candidates for hiring or contracting.
Requirements
- 5–8 years of professional experience in relevant technology and projects.
- Genuine fluency writing complex T-SQL from scratch and validating data in a Microsoft SQL Server environment.
- Experience with ETL and data warehouse testing, including source-to-target validation, transformations, completeness, and mapping specifications.
- Strong QA methodology covering test cases, test plans, test strategy, positive and negative testing, performance and load testing, and data completeness testing.
- Experience testing SSRS and Power BI reports against SQL queries.
- Experience leading and executing automated testing for web and mobile applications across the software development lifecycle.
- Client-facing experience presenting technical and business value to stakeholders.
- Experience coaching and mentoring through collaboration and code reviews.
- A relevant intensive program, bachelor’s degree in Computer Science or Software Engineering, or equivalent experience.
- Familiarity with Azure data sources, SSAS cubes, and version control is preferred; deeper Power BI, Fabric, or data-modeling experience is a plus.
Benefits
- Full-time employment with paid time off, local holidays, and country-specific perks.
- Remote work from Mexico, Colombia, or El Salvador, with no permanent corporate office workplace.
- Encouraged 40-hour work week and work/life balance support.
- Country-specific benefits may include bonus pay, local protections, and other perks.
- Company-paid online courses, tech conferences, and certifications.
- Supportive, people-first culture with career growth and autonomy.
About Praxent
Praxent is an award-winning AI-native services firm built on 25+ years of financial services experience. We help financial institutions and enterprise fintech providers turn legacy platforms into AI-native competitive advantages. Our forward-deployed fintech engineers deliver the full transformation: modern platform architecture, digital experiences, and custom AI agents built for your unique processes across lending, payments, fraud, and banking that learn from every transaction and compound their value over time. Our AI Command℠ accelerator delivers working agents in as little as four weeks, with business outcomes guaranteed. Our approach to AI focuses on governance, security, and compliance for regulated industries. Praxent is a Select Anthropic Services Partner, and the only partner in the ecosystem exclusively focused on financial services. We help financial institutions bridge the gap between frontier models and P&L impact. Become an AI-native market leader with Praxent.