Backend Engineer

Backend Engineer Data & Integrations

Location: Remote LATAM / Africa / India / Philippines / Eastern Europe

Compensation: $(commensurate with senior execution capability and at clients discretion)

Type: Full-Time 45 hours of overlap with Eastern Time each workday

About the Role

Our client is scaling its tech infrastructure and we are looking for a backend-focused engineer to build the core data and integration layer of our lending business.

Working directly with our Head of Technology Transformation you will have direct access to leadership and meaningful influence over architecture engineering practices and the future of our data platform.

What Youll Do

Primary Focus (80%)

• Relational Database Layer: Design build and own relational databases (SQL Server PostgreSQL or MySQL) including schemas views stored procedures migrations and query layers utilized by internal tools Power BI reporting and AI agents.
• API Integrations & Automation: Develop and maintain webhooks REST APIs and scheduled background processes to automate workflows and synchronize data across core platforms.
• ETL/ELT Pipelines: Design pipelines that ingest clean transform validate and move data from legacy spreadsheets into our central database.
• Data Modeling & Architecture: Design efficient clean data models that support lending operations risk analytics and real-time business reporting.
• Data Quality & Reliability: Implement automated testing monitoring and validation controls to ensure high data integrity across all environments.

Secondary Focus (20%)

• Cloud Infrastructure (Azure): Support infrastructure-as-code deployments and CI/CD workflows on Azure.
• Security & Access Control: Configure secure application connectivity secrets management authentication and least-privilege access protocols.
• Analytics & Visualization: Build dashboards and reports in Power BI to give operational visibility to executive leadership.
• NoSQL Exploration: Extend into document/NoSQL storage where appropriate for unstructured datasets.

What Were Looking For

• Experience: 34 years of hands-on backend or data engineering experience building production systems. Exposure to production systems is required.
• Core Tech Stack: Advanced SQL (data modeling query optimization indexing) Strong Python (data manipulation script execution API consumption). We are open to strong candidates whose primary database experience is with PostgreSQL or MySQL as well as SQL Server.
• Integration Expertise: Proven experience building maintaining and troubleshooting API integrations between disparate business systems.
• AI-Native Engineering: Strong interest and active workflow integration with modern AI engineering tools (ChatGPT Claude Perplexity Cursor) to multiply output and speed.
• Cloud & Security Fundamentals: Working knowledge of Azure networking (VNets private endpoints firewalls) and security standards (secrets management data protection).
• Software Engineering Discipline: Strict adherence to Git best practices code reviews automated testing and clean technical documentation.
• Communication: Exceptional written and spoken English strong self-direction and a reliable remote setup for daily cross-functional collaboration.

Nice-to-Haves

• Prior experience in Lending Real Estate Banking or Financial Services / Fintech.
• Infrastructure-as-code tools (Terraform).
• Automation using VBA or PowerShell to extract legacy data.
• CI/CD automation via GitHub Actions or Azure DevOps.
• Power BI modeling and dashboard design.

Candidate Profile & Mindset

• Broad & Adaptable: Happy switching between database design Python scripts and Azure infrastructure in the same afternoon.
• Comfortable with Ambiguity: Ability to take loose operational requirements and turn them into a working testable MVP quickly.
• Proactive Communicator: Highlights risks or uncertainties early asks sharp questions and takes pride in clean execution.

Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1