About the role

Role Overview

Senior Data Engineer to join the growing data team. You will design, build, and maintain scalable data infrastructure supporting analytics, AI initiatives, and business operations.

Responsibilities

Design, build, and maintain scalable data pipelines (batch and real-time/streaming)
Develop dashboards to surface key business metrics and support data-informed decisions
Write and optimize complex SQL (queries, stored procedures) and data models
Build production-grade Python code for ingestion, transformation, and automation
Build and manage cloud-native data infrastructure on AWS, GCP, or Azure
Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)
Support ML workflows (feature engineering, training pipelines, MLOps integration)
Ensure data quality, governance, and lineage tracking; apply compliance best practices (GDPR, LGPD)
Collaborate with data scientists and analysts to deliver trusted, well-documented datasets
Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency
Contribute to internal data platform tools and frameworks

Requirements

5+ years of data engineering (or related)
Advanced English
Strong SQL skills (complex queries, performance optimization, data modeling)
Strong Python skills for ETL/ELT pipelines, scripting, and automation
Hands-on experience with AWS, GCP, or Azure
Experience with orchestration tools (Apache Airflow, Prefect, or similar)
Experience with big data frameworks (Apache Spark, Kafka, Flink, or similar)
Familiarity with data warehousing (Snowflake, BigQuery, Redshift, or similar)
Strong understanding of data modeling, schema design, and data architecture

Nice to Have

dbt and the modern data stack
Streaming/event-driven architectures
Knowledge of MLOps and AI pipeline support
Data mesh / data platform engineering
Data governance frameworks/tools (lineage, data cataloging)

Work Location / Eligibility

Remote full-time, but candidates must be located in Latin America.

About tapouts

tapouts is a mission-driven organization focused on empowering children by nurturing their emotional and psychological well-being. Beyond teaching skills, it aims to transform the lives of children and their families through data-informed analytics, AI initiatives, and business operations.

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