Senior Data Engineer
Nelo, CDMX +1
- Pay
- MXN 100K–MXN 140K / month
- Work type
- Onsite
- Level
- Senior
- Area
- Data engineering, Inference & ML systems, ML / AI engineering
- Posted
- Sep 8, 2026
About the role
LOCATION: MEXICO CITY | NEW YORK CITY — IN OFFICE
About the Company
Nelo is a leading fintech in Mexico reimagining credit to expand consumer buying power. Founded in 2019 by former Uber international growth team leads Kyle Miller and Stephen Hebson, Nelo offers credit cards, BNPL loans, bill payments, and its own marketplace — all under one app — designed from first principles for a mobile-first, real-time payments world.
With $100M in annual revenue, $1B in annualized GMV, and $140M+ raised in equity and debt, Nelo is one of the most capital-efficient consumer fintech companies in Latin America. The company is profitable — positive operating profit in both 2024 and 2025. It runs lean and technical: 60 employees, 8 engineers, with AI driving underwriting, collections, and operations.
- HQ: Mexico City, Mexico; commercial and people operations in New York City
- Founded: 2019
- Team size: 60 FTEs
- Open roles: 10+
- Website: nelo.mx http://nelo.mx
- Stage: Post-Series A; $100M credit facility (Victory Park Capital, 2022); profitable
- Benefits: 401k, open PTO, medical, dental, vision, STD, LTD, fertility
Company values:
- Be your best selves: ambition, hard work, intellectual curiosity
- Everyone is an owner: all employees receive equity including customer support; 10-year option expiration; equity refreshers
- Customer first: product decisions grounded in customer benefit
- Open and honest communication: quarterly financials and board presentations shared company-wide; low tolerance for bureaucracy or gossip
- Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture
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 DO
- Own and evolve the data platform: Design, build, and maintain scalable, reliable data pipelines and datasets that power analytics, reporting, and machine learning use cases across the company.
- Build and maintain ETL/ELT pipelines: Develop production-grade pipelines that ingest data from transactional systems, third-party providers, and event streams into our data warehouse and feature store.
- Enable analytics and business teams: Partner with Data Analytics and stakeholders to ensure data is well-modeled, documented, and accessible for self-service analysis.
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Listed on Nelo's Ashby job board; checked 29 h ago. First seen by us 31 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.