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Avenue7Media Logo Avenue7Media · IT - Software Development

Full-Stack Developer

· Job Posted January 02, 2026
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Job Description

We’ve invested heavily in building a modern data and analytics ecosystem—Lift Legacy (1.0/2.0), Airflow-powered ETL pipelines, a BigQuery data warehouse, internal tools like Walk the Store, Lift AI, and multi-tenant client reporting through Looker Studio Pro. All of these systems depend on a single backbone: the underlying pipelines, marketplace APIs, legacy data flows, and reporting layers that power our client experience. Today, that backbone is primarily owned by one person. We’re now bringing in a dedicated full-stack engineer to scale, harden, and expand the platform. This role is not speculative—it directly supports strategic initiatives the company has already committed to, with clear ROI through vendor spend reduction, faster delivery, and reduced key-person risk.

Job Responsibility

  • Data Platform & Airflow ETL: Harden and standardize Airflow pipelines for reliability, observability, and error handling
  • Break complex DAGs into typed, modular components
  • Ensure clean and timely data delivery across Marketplace, Lift AI, and client reporting
  • Marketplace API Ownership (Amazon → Walmart): Build robust SP-API and Walmart integrations (read + future write actions)
  • Move critical data flows away from third-party providers (Cajari, Intentwise)
  • Expand our internal dataset coverage over time
  • Walk the Store – Productization & Scale: Own backend integrations and data plumbing supporting the product
  • Build features like daily alerts, resolution workflows, and cost-to-fix models
  • Work closely with product and stakeholders to drive WtS to true product-market fit
  • Client-Facing Analytics (Looker Studio Pro): Strengthen and extend our multi-tenant reporting setup
  • Build repeatable patterns for client-specific dashboards and secure data access
  • Increase client stickiness by making analytics a first-class product
  • Legacy Lift (1.0/2.0) Support & Migration: Maintain mission-critical features still in daily use
  • Gradually refactor high-value components into modern Python/ETL services
  • Reduce long-term technical debt and central points of failure
  • Reliability, Monitoring & Disaster Recovery: Implement backup routines, alerting, and missing-data detection
  • Reduce the “bus factor of 1” currently present in several critical systems
  • Strengthen platform health as we scale

Requirements

  • Strong experience in Python, ETL, and API integrations
  • Airflow or other workflow orchestration experience
  • Comfort with SQL and data warehousing (BigQuery preferred)
  • Experience building backend services + light front-end (React or similar)
  • Ability to structure reliable pipelines and own them end-to-end
  • Strong debugging, logging, and monitoring instincts
  • Comfortable reading and making targeted changes in an existing PHP/Laravel codebase (even if Python is your primary language)
  • Ownership mindset
  • Clear communication
  • Ability to work cross-functionally (data, product, engineering, analytics)
  • A bias for practical solutions over theoretical perfection
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