Data Engineer (Web Scraping & Data Ingestion)

🇲🇽 Mexico City, CDMX
Posted 5 months ago
Expires July 22, 2026

AlertMedia is seeking an experienced Data Engineer to lead the design, maintenance, and optimization of large-scale web scraping and data ingestion pipelines. This role is pivotal in sourcing real-time data from open-source platforms and social media to support the company's mission of providing timely threat intelligence and emergency communication solutions.

The Data Engineer will be responsible for developing and maintaining scalable ETL and data processing pipelines, addressing challenges such as anti-bot protections, rate limiting, schema changes, and data quality issues. Collaboration with cross-functional teams is essential to ensure that the ingested data meets both customer and business requirements.

Candidates should possess a bachelor's degree in Computer Science, Engineering, or a related technical field, along with 4 to 6 years of experience in data engineering or backend engineering roles. Proficiency in Python, experience with AWS or other cloud platforms, and a solid understanding of databases like Postgres or Redis are required. Familiarity with stream processing architectures and search/data indexing systems like Elasticsearch is advantageous.

AlertMedia offers a competitive base salary, an annual company bonus, and 100% employer-paid medical, dental, and vision coverage. Additional benefits include a parental leave program, a Christmas bonus (Aguinaldo), generous vacation and holiday policies, a monthly work-from-home stipend, and all necessary equipment provided. The company fosters a culture of continuous learning and growth, offering mentorship, tech talks, and personalized career development sessions.

Joining AlertMedia means becoming part of a mission-driven organization dedicated to protecting people and businesses during emergencies. Employees have the opportunity to work in a collaborative environment that values innovation, simplicity, and hard work, contributing to solutions that make a real-world impact.

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