[Hiring] Senior Data Engineer @OnHires

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.