O
Onhiresvia Ashby
Senior Data Engineer
REMOTEPosted 3d ago
Data EngineerSeniorFull-time
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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.
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.
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