Senior Data Engineer (Remote - Latam)

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Requirements:

• 8+ years of experience in data engineering or related backend roles, preferably in Agile environments
• Proficiency in Scala and distributed data processing tools such as Apache Spark
• Deep understanding of PostgreSQL, ClickHouse, and scalable NoSQL solutions like ScyllaDB
• Experience with CI/CD (Jenkins), containerization (Docker), and cloud infrastructure (AWS)
• Familiarity with Airflow, Hive, Redis, and Kafka for data orchestration and streaming
• Ability to design secure, maintainable systems and lead large-scale infrastructure projects
• Strong version control skills with Git and a commitment to testing and code reliability

Responsibilities:

• Design and maintain scalable backend systems and data pipelines for batch and real-time processing
• Own full project lifecycles from architecture through deployment and monitoring
• Collaborate with product managers, UX designers, and engineering teams to deliver high-quality, data-driven solutions
• Write clean, testable, and well-documented code following best software engineering practices
• Review code, define technical direction, and enforce coding standards
• Mentor fellow engineers and contribute to knowledge-sharing across the team
• Continuously improve system performance and identify opportunities for technical enhancement