Senior Data Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Design, develop, and sustain scalable production data pipelines.

• Ingest, process, and transform substantial volumes of data from diverse sources.

• Create solutions for data standardization, normalization, matching, and validation.

• Establish data quality controls and monitoring systems to detect malformed, inconsistent, or incorrect data.

• Design dependable methods for data corrections, updates, reprocessing, and backfills.

• Enhance the architecture, scalability, reliability, and performance of the data platform.

• Assume end-to-end ownership of technical solutions and ensure production quality.

• Collaborate closely with a small engineering team while independently managing the designated area of responsibility.

• Employ AI-assisted engineering tools and practices to boost development efficiency.

⛳️ Requirements

• Over 4 years of practical Data Engineering experience with production data systems.

• Proficient in Python programming.

• Practical experience with PySpark / Apache Spark and distributed data processing.

• Extensive experience in building and maintaining ETL/ELT and data ingestion pipelines.

• Familiarity with large, complex datasets and multiple data sources.

• Strong skills in SQL and data modeling.

• Experience with modern data platforms, data lakes, lakehouse, or similar architectures.

• Solid understanding of data quality, validation, monitoring, and data reliability.

• Capability to independently design solutions, troubleshoot production issues, and take ownership of delivery.

• Proficient in English.

• Nice to have: Experience with Delta Lake, MongoDB, Databricks, data matching, reconciliation, deduplication, complex standardization, startup/scale-up or lean engineering team experience, Docker, Linux, CI/CD, mentoring, and AI coding tools or agent-based development practices.

🏝️ Benefits

• 100% remote work from LATAM.

• Full-time B2B contract.

• High level of technical ownership and autonomy.

• Direct impact on architecture and product development.

• Engage with complex engineering challenges rather than narrowly defined implementation tasks.

• Join a small, international team with direct communication and minimal bureaucracy.

• Opportunities for professional development and continuous learning.