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Senior Data Engineer

Data Engineer Full-time Freelance LATAM

Job details

Not specified Salary
LATAM Eligibility
Senior Experience
Full-time Employment

About this role

Role overview This is a senior, hands-on data engineering role on a small international team at a market intelligence and software company. The work centers on large-scale data processing, standardization, matching, and data quality, with end-to-end ownership from design through reliable production delivery. The position is fully remote across Latin America on a full-time B2B contract.

Responsibilities - 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 catch malformed or inconsistent data - Design reliable approaches to 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 while working with a small engineering team

Requirements - 4+ years of hands-on data engineering experience with production data systems - Strong Python skills - Hands-on experience with PySpark or Apache Spark for distributed data processing - Strong experience building and maintaining ETL/ELT and ingestion pipelines - Solid SQL and data modeling skills - Experience with modern data platforms, data lakes, or lakehouse architectures - Strong understanding of data quality, validation, monitoring, and reliability - Ability to work independently, troubleshoot production issues, and own delivery - Fluent English

Nice to have - Delta Lake, MongoDB, or Databricks experience - Background in data matching, reconciliation, deduplication, or complex standardization - Experience in startups, scale-ups, or small product engineering teams - Docker, Linux, CI/CD, or related DevOps exposure - Experience mentoring other engineers while remaining hands-on - Active use of AI coding or agent-based development tools

Benefits and work setup - 100% remote 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 scoped implementation work - Small international team with minimal bureaucracy and direct communication

Skills detected in the listing

PythonSQLData EngineeringDocker
Detected Sep 15, 2026
Last verified Sep 15, 2026

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