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.
