Back-End Data Engineer

• →Database Design & Modification: Model new data structures and safely modify existing schemas based on evolving application requirements.
• →System Integration: Work seamlessly across relational (SQL) and document-based (MongoDB) databases, determining the optimal model and access pattern for each use case.
• →Performance & Troubleshooting: Proactively resolve data-quality, consistency, and performance issues within production applications. Troubleshoot complex data flows between API and database layers.
• →Cross-Functional Collaboration: Partner with backend, front-end, and product team members to design comprehensive application features and scalable data solutions.
• →Code Review & Deployment: Review database code and schemas, and safely deploy database changes into production environments using Continuous Delivery practices.
• →Quality Assurance: Define and contribute to data-quality standards, testing strategies, and automated testing frameworks.

• Education & Track Record: Bachelor’s degree in Computer Science, Software Engineering, or a related field, with a minimum of 5 years of experience delivering, shipping, and maintaining production software solutions.
• Relational Database Mastery: Deep production experience with Microsoft SQL Server, including relational schema design, complex query development, stored procedures, indexing strategies, and performance optimization.
• NoSQL Proficiency: Hands-on experience with MongoDB, including document modeling, schema design, and integration with relational systems.
• Application Architecture: Strong understanding of JSON, REST APIs, database security, testing, and how data moves through application services.
• Development Tools: Strong experience using distributed version-control systems (Git/GitHub) and familiarity with agile software-development practices.
• Clear Communication: Strong verbal and written communication skills with the ability to explain technical decisions, data-modeling approaches, and engineering tradeoffs clearly.
• Problem-Solving Mindset: Exceptional attention to detail and a practical approach to quality, simplicity, and timely delivery.

• Azure Cloud Data: Experience with the Azure data stack, specifically Azure Data Factory (ADF) or Microsoft Fabric.
• Pipeline Support: Experience supporting broader data pipelines in addition to core application database development.
• Python Scripting: Working knowledge of Python for scripting, automation, or limited pipeline support.
• JavaScript Ecosystem: Experience with JavaScript, Node.js, or Joi.

🌐 Time Zone & Collaboration: The role requires collaboration with teams aligned to Central Time (CT), USA. Candidates must overlap at least 4–5 hours daily with US-based stakeholders to ensure seamless architectural alignment and agile collaboration.

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