Back-End Data Engineer

• Model new data structures and safely modify existing schemas based on evolving application requirements
• Work across relational SQL and document-based MongoDB databases, selecting optimal data models and access patterns
• Resolve data-quality, consistency, and performance issues in production applications
• Troubleshoot complex data flows between API and database layers
• Collaborate with backend, front-end, and product teams on application features and scalable data solutions
• Review database code and schemas
• Safely deploy database changes into production using Continuous Delivery practices
• Define and contribute to data-quality standards, testing strategies, and automated testing frameworks

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Minimum of 5 years of experience delivering, shipping, and maintaining production software solutions
• Deep production experience with Microsoft SQL Server
• Experience with relational schema design, complex query development, stored procedures, indexing strategies, and performance optimization
• Hands-on experience with MongoDB, including document modeling, schema design, and integration with relational systems
• Strong understanding of JSON, REST APIs, database security, testing, and data movement through application services
• Strong experience using distributed version-control systems, including Git/GitHub
• Familiarity with agile software-development practices
• Strong verbal and written communication skills
• Exceptional attention to detail and a practical approach to quality, simplicity, and timely delivery
• Candidates must overlap at least 4–5 hours daily with US-based stakeholders aligned to Central Time (CT), USA)
• Nice to have: experience with Azure Data Factory (ADF) or Microsoft Fabric
• Nice to have: experience supporting broader data pipelines
• Nice to have: working knowledge of Python
• Nice to have: experience with JavaScript, Node.js, or Joi

• Remote work
• Collaboration with distributed teams across LATAM
• Work on high-scale platforms and impactful digital solutions
• Long-term technical expertise, product innovation, and team augmentation projects
• Collaboration with international clients across industries