Job Title: Integrations Engineer (Data & Systems) Contractor Fee: $3,000-$3,200/month (USD) Work Arrangement: Remote Engagement Type: Independent Contractor Commitment: Full-time (Approx. 40 hours/week) Company Overview: Tidal is a Direct Placement Agency that helps job seekers find job opportunities for real growth. We work with stable, responsible businesses experienced in remote hires and are excited to welcome international team members. Tidal is owned and operated by consumer brand owners and operators. We have offshore team-building experience and aim to help businesses leverage global talent. About This Role: We are hiring a highly skilled Integrations Engineer to internalize third-party system integrations and build scalable frameworks that power complex ecommerce and fulfillment operations. You will design and maintain secure, high-throughput data pipelines, standardize data from unstructured sources, and create infrastructure that supports financial and operational workflows. This role requires strong backend engineering experience, cloud data expertise, and the ability to work independently in a production environment, handling mission-critical integrations. Key Responsibilities: Design and maintain scalable ELT and data pipeline frameworks Build and manage integrations using REST APIs, GraphQL APIs, webhooks, SFTP, and file-based workflows Transform and normalize data from multiple structured and unstructured sources into unified schemas Develop integrations with warehouse management systems and accounting platforms Extract and structure carrier invoice data from email attachments and PDF files Implement secure, production-ready data handling and pipeline security best practices Maintain a high-throughput data infrastructure with strong observability and logging Leverage LLM-based solutions to parse and process unstructured documents Build and maintain MCP servers to support customer-facing applications Monitor, debug, and continuously optimize integration reliability and performance Software/Platforms/Tools: Google Cloud Platform (BigQuery, Cloud SQL, Cloud Storage) Python Logfire or similar observability/log #J-18808-Ljbffr