Senior Data Engineer

The role

You will design, build, and operate the core data platform to power analytics, machine learning, and business decision-making. This involves managing the full data lifecycle from ingestion and transformation to reliability and scalability.

What you will do

• Design, build, and maintain scalable, reliable data pipelines and datasets
• Develop production-grade ETL/ELT pipelines
• Partner with stakeholders to ensure data is well-modeled and accessible
• Build and maintain feature pipelines and feature stores for machine learning
• Implement data quality checks, monitoring, alerting, and SLAs
• Build tooling, abstractions, and CI/CD pipelines
• Collaborate cross-functionally with Software Engineers, ML Engineers, and Product Managers
• Improve performance, cost efficiency, and scalability of data infrastructure

Required qualifications

• At least 5 years of experience in data engineering, software engineering, or backend engineering roles with significant ownership of production data systems
• Strong proficiency in Python for building data pipelines and infrastructure
• Advanced SQL skills and deep experience with data modeling for analytics and ML use cases
• Hands-on experience building ETL/ELT pipelines using tools or frameworks such as Airflow, AWS Glue, dbt, or similar orchestration systems
• Experience working with cloud data warehouses and query engines such as Athena/Presto, Redshift, BigQuery, or Snowflake
• Familiarity with big data or distributed processing frameworks such as Spark (or equivalent)
• Experience designing and maintaining CI/CD pipelines for data workflows
• Experience with AWS (S3, IAM, Lambda, Glue, EMR, etc.) or similar cloud ecosystems
• Strong understanding of data reliability, observability, and best practices for production systems
• Ability to write clean, maintainable, and well-tested code
• Proven ability to work cross-functionally with Analytics, ML, and Product teams
• Strong communication skills to explain technical concepts to non-engineers

Nice to have

• Exposure to feature stores, ML data pipelines, or close collaboration with ML Engineering teams

Benefits

• Very competitive salary and equity
• 100% medical, dental & vision insurance coverage
• Unlimited PTO
• 401(k) for US-based employees
• Extended maternity and paternity leave
• Relocation support
• Equity for all employees

About the company

Nelo is a leading fintech in Mexico reimagining credit to expand consumer buying power. Founded in 2019, it offers credit cards, BNPL loans, bill payments, and a marketplace through a mobile-first app.