Senior Data Engineer

🔥 12 hours ago

🌐 Brazil, Colombia, +1 more countries – Remote

🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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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tapouts

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

📚 Education

🧘 Wellness

💰 $3.2M Seed on 2024-04

Education • Wellness

tapouts is a subscription-based coaching program for children ages 4–16 that offers weekly live, small-group sessions led by certified coaches to teach social-emotional learning (emotional regulation, confidence, resilience, problem solving, communication, and stress management). The curriculum is therapist/PhD-developed and research-backed; tapouts positions itself as skill-building (not therapy), offers free trial sessions, HSA/FSA eligibility, and emphasizes measurable improvements and parent-reported outcomes. It markets directly to parents and families, focusing on behavioral and emotional wellness in a group-coaching format delivered online.

📋 Description

• Design, build, and maintain robust, scalable batch and real-time/streaming data pipelines • Design and develop dashboards surfacing key business metrics for strategic, data-informed decision-making • Develop and optimize complex SQL queries, stored procedures, and data models • Write production-grade Python code for data ingestion, transformation, and automation • Build and manage cloud-native data infrastructure on AWS, GCP, or Azure • Implement and maintain data lakehouse architectures such as Delta Lake and Apache Iceberg • Support ML workflows, including feature engineering, model training pipelines, and MLOps integration • Ensure data quality, governance, and lineage tracking across data assets • Collaborate with data scientists and analysts to deliver trusted, well-documented datasets • Monitor pipeline performance, troubleshoot issues, and optimize cost and efficiency • Contribute to internal data platform tools and frameworks • Apply data governance best practices and ensure compliance with GDPR and LGPD

🎯 Requirements

• 5+ years of experience in data engineering or a related field • Advanced English • Strong proficiency in SQL, including complex queries, performance optimization, and data modeling • Strong proficiency in Python, including ETL/ELT pipelines, scripting, and automation • Experience with cloud platforms: AWS, GCP, or Azure • Hands-on experience with data orchestration tools: Apache Airflow, Prefect, or similar • Experience with big data frameworks: Apache Spark, Kafka, Flink, or similar • Familiarity with data warehousing solutions: Snowflake, BigQuery, Redshift, or similar • Strong understanding of data modeling, schema design, and data architecture principles • Experience with dbt and the modern data stack • Familiarity with streaming and event-driven architectures • Knowledge of MLOps and AI pipeline support • Experience with data mesh or data platform engineering • Familiarity with data governance frameworks and tools, including data lineage and data cataloging

🏖️ Benefits

• Equal opportunity employer committed to creating a diverse environment • Mission-driven work empowering children with social and emotional skills