Senior Fullstack Engineer (Django, React, Analytics, ...

This range is provided by Aegistech. Your actual pay will be based on your skills and experience "” talk with your recruiter to learn more. Base pay range $150,000.00/yr - $200,000.00/yr We're looking for a Senior Full Stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You'll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you'll help migrate our backend from Flask to Django , ensuring a scalable and well-structured API design. Responsibilities: Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django . Adapt RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking, attribution models, and A/B testing frameworks . Deploy and monitor applications using AWS (EC2, S3, CloudFormation, ECS) . Ensure data security, compliance, and performance optimization. Requirements: 4+ years of experience in software engineering, with a focus on backend development. Experience building analytics and marketing tools (e.g., dashboards, tracking systems, attribution models). Strong experience with Django (or Flask) and PostgreSQL . Solid understanding of data pipelines, event tracking, and API integrations . Proficiency in React, TypeScript, and frontend visualization frameworks (e.g., D3.js, Chart.js, Recharts) . Hands-on experience with AWS services (EC2, S3, CloudFormation, ECS). Experience with CI/CD pipelines, DevOps best practices, and monitoring tools . Familiarity with CRM and marketing automation platforms (HubSpot, Salesforce, Iterable, etc.). Bonus Points: Experience with Google Analytics, Mixpanel, Segment, or other event tracking tools . Knowledge of AI/ML models for marketing insights and predictive analytics . Familiarity with Redis, Huey (or Celery) for background task processing . Experience with Stripe, Google Pay for Passes, Apple Wallet, and APNS . Seniority level Mid-Senior level Employment type Full-time Job function Information Technology #J-18808-Ljbffr

Created: 2025-02-14