Senior Data Engineer
Mexico City, CDMX, MexicoAll locationsMexico City, CDMX, MexicoNew York, New York, United States On-site
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About the role
We are looking for a Senior Data Engineer to help design, build, and operate the core data platform that powers analytics, machine learning, and business decision-making at Nelo. This is a hands-on, high-impact role for an experienced engineer who enjoys working across the full data lifecycle, from ingestion and transformation to reliability, scalability, and ML enablement. You will partner closely with Analytics, Product, Engineering, Marketing, Risk, and Machine Learning teams to ensure our data infrastructure is robust, scalable, and easy to build on as Nelo continues to grow.
What you'll bring
- 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.
- Proven ability to work cross-functionally with Analytics, ML, and Product teams.
- Strong communication skills to explain technical concepts to non-engineers and align on trade-offs.
- Exposure to feature stores, ML data pipelines, or close collaboration with ML Engineering teams is a strong plus.