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
• Fine-tune data pipelines to maximize 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
• Work on innovative, high-impact projects with U.S. companies

• 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
• Currently based in Latin America, as indicated by the required application question
• Reliable internet connection and a laptop

• 100% Remote Work
• Highly Competitive USD Pay
• Paid Time Off
• Work with Autonomy
• Work with Top American Companies
• Engagement activities
• Work-life balance support
• Access to a diverse, global network of 600+ professionals in 25+ countries
• Collaboration with a multicultural team
• Opportunity to work with seasoned senior talent