Senior Data Engineer

🔥 4 hours ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OnHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.

📋 Description

• 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 the assigned area of responsibility • Use AI-assisted engineering tools and practices to improve development efficiency

🎯 Requirements

• 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, 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 • Complex engineering challenges rather than narrowly defined implementation tasks • Small, international team with direct communication and minimal bureaucracy • Professional development and continuous learning opportunities