Summary: Seeking a highly skilled Integrations Engineer to build scalable frameworks for complex ecommerce and fulfillment operations, focusing on secure, high-throughput data pipelines. Highlights: 1. Design and maintain scalable ELT and data pipeline frameworks 2. Leverage LLM-based solutions for document processing 3. Focus on mission-critical integrations in a production environment ### **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/logging tools * REST APIs, GraphQL APIs, Webhooks * SFTP and CSV\-based ingestion workflows * LLM tools for document parsing * Modern data security frameworks ### **Qualifications:** * 3–5 years of freelancing experience * Excellent English communication skills (C1 or C2 level) * 3–6\+ years of experience in backend or data engineering * Strong hands\-on experience with GCP data infrastructure * Advanced proficiency in Python * Proven experience building and maintaining production data pipelines * Experience transforming unstructured data into operational schemas * Familiarity with secure data pipeline architecture and best practices * Ability and willingness to work with AI/LLM\-based processing workflows * Experience in ecommerce, logistics, or fulfillment systems is a strong plus * Highly independent, systems\-oriented, and solution\-driven ### **Shift Schedule:** * Monday to Friday, 9:00 AM – 5:00 PM US CST