Lead Data Scraping & Enrichment Engineer – Growth & Lead Acquisition (Python, React..) at Groupon

Groupon is seeking a Lead Data Scraping & Enrichment Engineer to own end-to-end LeadGen and Lead Allocation pipelines. The ideal candidate should be flexible, business-savvy, and comfortable working across a variety of languages, including Java, Python, and TypeScript.

This role is responsible for ensuring high-quality leads flow seamlessly from external sources to internal systems like Salesforce. Groupon needs someone who can build and integrate data pipelines, orchestrate workflows, perform large-scale data transformations, and quickly pivot between technologies.

Responsibilities:

• Architect, develop, and maintain microservices or stand-alone scripts for lead acquisition and data enrichment.
• Set up and maintain workflow orchestration using tools like Temporal, Airflow, or similar.
• Integrate with various external APIs and internal data warehouses.
• Rapidly develop proof-of-concept solutions to validate business ideas.
• Containerize applications or scripts using Docker and participate in CI/CD processes.
• Translate business objectives and lead-gen strategies into technical projects.
• Work with PostgreSQL or other relational databases and integrate BigQuery for large-scale data processing and analytics.
• Implement secure coding patterns, data validations, and compliance measures for sensitive data.

Requirements:

• Comfort with multiple programming languages (e.g., Python, React, Java).
• Experience building RESTful APIs, data pipelines, and containerized microservices.
• Familiarity with data manipulation at scale: scraping, enrichment, 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.
• Comfortable making architecture decisions and justifying trade-offs to both technical and business teams.

Groupon offers:

• Opportunity to work on a wide variety of technologies.
• Chance to make a meaningful impact.