Senior Data Engineer

About the role

Remote | LATAM | Full-time | B2B Contract Our client is a growing technology company developing market intelligence and software solutions. They are looking for a Senior Data Engineer to join a small international team and take ownership of complex data engineering challenges involving large-scale data processing, standardization, matching, and data quality. The role is highly hands-on and suits an engineer who is comfortable working independently, making technical decisions, and taking solutions from initial design through reliable production delivery. What you’ll do - Design, build, and maintain scalable production data pipelines. - Ingest, process, and transform large volumes of data from multiple sources. - Develop solutions for data standardization, normalization, matching, and validation. - Build data quality controls and monitoring to identify malformed, inconsistent, or incorrect data. - Design reliable approaches to data corrections, updates, reprocessing, and backfills. - Improve the architecture, scalability, reliability, and performance of the data platform. - Take end-to-end ownership of technical solutions and production quality. - Work closely with a small engineering team while independently driving your area of responsibility. - Use AI-assisted engineering tools and practices to improve development efficiency. What we’re looking for - 4+ years of hands-on Data Engineering experience with production data systems. - Strong Python skills. - Hands-on experience with PySpark / Apache Spark and distributed data processing. - Strong experience building and maintaining ETL/ELT and data ingestion pipelines. - Experience working with large, complex datasets and multiple data sources. - Strong SQL and data modeling skills. - Experience with modern data platforms, data lakes, lakehouse, or similar architectures. - Strong understanding of data quality, validation, monitoring, and data reliability. - Ability to independently design solutions, troubleshoot production problems, and take ownership of delivery. - Fluent English. Nice to have - Delta Lake experience. - MongoDB experience. - Databricks experience. - Experience with data matching, reconciliation, deduplication, or complex standardization problems. - Experience in a startup, scale-up, small product company, or lean engineering team. - Docker, Linux, CI/CD, or related DevOps experience. - Experience mentoring or technically supporting other engineers while remaining hands-on. - Active use of AI coding tools or agent-based development practices. What we offer - 100% remote work from LATAM. - Full-time B2B contract. - High level of technical ownership and autonomy. - Direct impact on architecture and product development. - Complex engineering challenges rather than narrowly defined implementation tasks. - Small, international team with direct communication and minimal bureaucracy. - Professional development and continuous learning opportunities.