Senior Data EngineerLocation: Remote Type: Full-Time **We will only consider candidates who are located in Latin AmericaAbout UsAt tapouts, we believe in the boundless potential of every child. Our mission goes beyond teaching skills; we are dedicated to nurturing the emotional and psychological well-being of the next generation. Imagine being part of a team that transforms the lives of a million children and their families. By joining tapouts, you are not just taking on a job but using your talents for a deeply rewarding cause.About the RoleWe are looking for a Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that powers our analytics, AI initiatives, and business operations. This is a hands-on role for someone who thrives in fast-paced environments, thinks like a platform architect, and is passionate about building data systems that matter.Key ResponsibilitiesDesign, build, and maintain robust, scalable data pipelines (batch and real-time/streaming).Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making.Develop and optimize complex SQL queries, stored procedures, and data modelsWrite clean, production-grade Python code for data ingestion, transformation, and automationBuild and manage cloud-native data infrastructure on AWS, GCP, or AzureImplement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)Support ML workflows including feature engineering, model training pipelines, and MLOps integrationEnsure data quality, governance, and lineage tracking across all data assetsCollaborate with data scientists and analysts to deliver trusted, well-documented datasetsMonitor pipeline performance, troubleshoot issues, and optimize for cost and efficiencyContribute to the development of internal data platform tools and frameworksApply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD)What We're Looking ForA platform-first mindset — you think beyond individual pipelines and consider ownership, reliability, and long-term maintainabilityA data-driven approach — you use metrics to measure pipeline health and continuously improveStrong communication skills — you can collaborate with technical and non-technical stakeholdersComfort working in ambiguous, fast-moving environments and bringing structure to chaosA passion for continuous learning — you stay current with the latest tools and trends in data engineeringRequirementsMust-Have:5+ years of experience in data engineering or a related fieldAdvanced EnglishStrong proficiency in SQL — writing complex queries, optimizing performance, and data modelingStrong proficiency in Python — building ETL/ELT pipelines, scripting, and automationExperience with cloud platforms: AWS, GCP, or AzureHands-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 principlesNice to Have:Experience with dbt (data build tool) and the modern data stackFamiliarity with streaming and event-driven architecturesKnowledge of MLOps and AI pipeline supportExperience with data mesh or data platform engineeringFamiliarity with data governance frameworks and tools (data lineage, data cataloging)Benefitstapouts is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will be considered regardless of race, color, religion, gender, sexual orientation, national origin, genetics, disability, or age.Join us in our mission to empower children with the social and emotional skills they need to succeed!
Senior Data Engineer
Location: Remote Type: Full-Time
**We will only consider candidates who are located in Latin America
About Us
At tapouts, we believe in the boundless potential of every child. Our mission goes beyond teaching skills; we are dedicated to nurturing the emotional and psychological well-being of the next generation. Imagine being part of a team that transforms the lives of a million children and their families. By joining tapouts, you are not just taking on a job but using your talents for a deeply rewarding cause.
About the Role
We are looking for a Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that powers our analytics, AI initiatives, and business operations.
This is a hands-on role for someone who thrives in fast-paced environments, thinks like a platform architect, and is passionate about building data systems that matter.
Key Responsibilities
- Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming).
- Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making.
- Develop and optimize complex SQL queries, stored procedures, and data models
- Write clean, 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 (e.g., Delta Lake, Apache Iceberg)
- Support ML workflows including feature engineering, model training pipelines, and MLOps integration
- Ensure data quality, governance, and lineage tracking across all data assets
- 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 the development of internal data platform tools and frameworks
- Apply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD)
What We're Looking For
- A platform-first mindset — you think beyond individual pipelines and consider ownership, reliability, and long-term maintainability
- A data-driven approach — you use metrics to measure pipeline health and continuously improve
- Strong communication skills — you can collaborate with technical and non-technical stakeholders
- Comfort working in ambiguous, fast-moving environments and bringing structure to chaos
- A passion for continuous learning — you stay current with the latest tools and trends in data engineering
Requirements
Must-Have:
- 5+ years of experience in data engineering or a related field
- Advanced English
- Strong proficiency in SQL — writing complex queries, optimizing performance, and data modeling
- Strong proficiency in Python — building 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
Nice to Have:
- Experience with dbt (data build tool) 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 (data lineage, data cataloging)
Benefits
tapouts is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will be considered regardless of race, color, religion, gender, sexual orientation, national origin, genetics, disability, or age.
Join us in our mission to empower children with the social and emotional skills they need to succeed!
tapouts is a science-backed program that was developed by educators and scientists to create a fun and safe space that enables children, ages 4-16 years, to learn lessons that last a lifetime.
tapouts’ experienced and caring certified coaches help kids learn to express feelings, improve self-control, build confidence, and make friends around the world on their online platform. The weekly live virtual group sessions are 30 minutes and filled with games (and prizes!) with an approach combining best practices across interdisciplinary fields such as psychology, neuroscience, and education
tapouts is a science-backed program that was developed by educators and scientists to create a fun and safe space that enables children, ages 4-16 years, to learn lessons that last a lifetime.
tapouts’ experienced and caring certified coaches help kids learn to express feelings, improve self-control, build confidence, and make friends around the world on their online platform. The weekly live virtual group sessions are 30 minutes and filled with games (and prizes!) with an approach combining best practices across interdisciplinary fields such as psychology, neuroscience, and education
