Senior Data Engineer – Digital Marketing

• Design, build, and maintain scalable ETL pipelines for large-scale data processing
• Work extensively with PySpark and Databricks to execute complex data transformations and workflows
• Optimize data pipelines for performance, scalability, and cloud cost-efficiency
• Partner with engineering and business teams to translate requirements into high-quality data solutions
• Debug, resolve, and prevent complex data processing and pipeline bottlenecks
• Enforce best practices for data quality, governance, and system performance

• 5–7 years of hands-on data engineering experience building production-grade solutions
• Strong proficiency in PySpark
• Extensive hands-on experience with Databricks
• Advanced knowledge of Databricks AutoLoader
• Advanced knowledge of Python
• Knowledge of best practices, performance tuning, and compute cost optimization
• Deep understanding of end-to-end ETL processes
• Experience with complex data transformations and pipeline optimization
• Exceptional problem-solving skills
• Ability to communicate technical concepts clearly across technical and business teams
• Must be currently based in Latin America

• 100% Remote Work
• Highly competitive compensation in USD
• Paid time off
• Autonomy to manage your time
• Opportunities to work with innovative, high-impact projects for leading U.S. companies
• Engagement activities supporting well-being and work-life balance
• Collaboration with a diverse, multicultural global network
• Work alongside seasoned senior professionals