Lead Data and Systems Engineer - Growth and Lead Acquisition, Java, Python, Typescript

March 1

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Logo of Groupon

Groupon

Groupon is a platform that connects businesses with customers by offering deals and discounts on various services and products. It aims to revolutionize the way businesses market to and engage with their audience, emphasizing innovation, technology, and performance-driven culture. Groupon promotes a work environment that values agility, merit, and direct communication, fostering a culture where employees can make impactful decisions and significantly contribute to the company's transformation.

technology • local commerce • social media • marketing • community

1001 - 5000 employees

Founded 2008

🛍️ eCommerce

🏪 Marketplace

👥 B2C

📋 Description

• Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. • We are searching for a flexible, business-savvy engineer to own our end-to-end LeadGen and Lead Allocation pipelines. • Own the entire lifecycle: from initial prototype to scalable, production-ready deployments. • Set up and maintain workflow orchestration using tools like Temporal, Airflow, or similar. • Ensure data is enriched, cleaned, and deduplicated, leveraging advanced matching or ML-based algorithms. • Rapidly develop proof-of-concept solutions to validate business ideas. • Participate in CI/CD processes, ensuring automated builds, tests, and deployments. • Monitor and troubleshoot system performance, actively proposing optimizations. • Translate business objectives and lead-gen strategies into technical projects. • Work with PostgreSQL or other relational databases to model entities, handle migrations, and tune performance. • Implement secure coding patterns, data validations, and compliance measures for sensitive data. • If comfortable, contribute to or lead the development of a future UI in React, Angular, or Vue.js.

🎯 Requirements

• Comfort with multiple programming languages (e.g., Java, Python, TypeScript). • Experience building RESTful APIs, data pipelines, and containerized microservices. • Proven track record of rapidly creating MVPs or PoCs and iterating into full production systems. • Familiarity with data manipulation at scale: scraping, ETL pipelines, schema design, and deduplication strategies. • Knowledge of workflow orchestration platforms (Temporal, Airflow, or similar). • Ability to understand growth objectives and translate them into actionable tech solutions. • Experience working directly with non-technical stakeholders (Sales, Marketing) and turning requirements into specs. • Comfortable making architecture decisions and justifying trade-offs to both technical and business teams. • Able to take initiative and drive features from concept to completion with minimal oversight.

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