---
title: 'Senior Data Engineer at Nelo'
canonical: 'https://feeny.ai/job/senior-data-engineer-nelo-mexico-city-rdvx7tz6atwf'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Engineer at Nelo

- **Company:** Nelo
- **Location:** Mexico City, Mexico
- **Compensation:** $100k–$140k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/nelo/74a8a2c1-2521-46a8-8706-dd980aeee9eb

## Job description

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.
- Support machine learning workflows: Build and maintain feature pipelines and feature stores that support model training, validation, and online/offline inference.
- Ensure data quality and reliability: Implement data quality checks, monitoring, alerting, and SLAs to ensure trust in our data products.
- Improve developer experience: Build tooling, abstractions, and CI/CD pipelines that make it easier and safer to develop, test, and deploy data pipelines.
- Collaborate cross-functionally: Work closely with Software Engineers, ML Engineers, and Product Managers to align data models and pipelines with product and business needs.
- Scale for growth: Continuously improve performance, cost efficiency, and scalability of our data infrastructure as data volume and use cases expand.

## Role requirements

At least 5 years of experience in data engineering, software engineering, or backend engineering roles with significant ownership of production data systems. Technical Skills

- 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.
- Exposure to feature stores, ML data pipelines, or close collaboration with ML Engineering teams is a strong plus.
- Experience with AWS (S3, IAM, Lambda, Glue, EMR, etc.) or similar cloud ecosystems.

Engineering Mindset

- Strong understanding of data reliability, observability, and best practices for production systems.
- Ability to write clean, maintainable, and well-tested code.

Collaboration & Communication

- 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.

Why you’ll succeed:

- You enjoy owning systems end-to-end and making them better over time.
- You balance speed, correctness, and long-term maintainability.
- You’re excited about enabling others (analysts, scientists, and engineers) to move faster with high-quality data.
- You’re comfortable operating in a fast-moving startup environment with evolving requirements.

Location: This role is based in-office in Mexico City or NYC

Compensation and Benefits:

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

## About Nelo

## Company Overview
- **One-liner**: Nelo provides buy now, pay later (BNPL) credit solutions for purchases, bill payments, and cash withdrawals to Mexican consumers via its mobile app.
- **Entity Type**: Private (line of credit stage; total raised $123M)
- **Headquarters**: Mexico City, Mexico (Avenida Paseo de la Reforma 296, Col. Juárez)
- **Founded**: 2019
- **Founders**: Not publicly disclosed from available search results

## Core Business
- **Primary industry**: Financial services – consumer credit / BNPL / fintech
- **Target customers**: B2C – primarily Mexican consumers seeking credit to buy products, pay utilities, or access cash in biweekly installments
- **Mission/purpose**: Enable financial access for underserved populations; simplify credit through mobile-first technology

## Products & Services
- **BNPL (Buy Now, Pay Later)**: Credit for in-app purchases at online and physical stores; pay in biweekly installments (“quincenas”) with zero interest.
- **Bill Payments (“Servicios y recargas”)**: Pay CFE (electricity), water, gas, internet bills, and mobile recharges in installments via the app.
- **Cash Withdrawals**: Withdraw cash against credit limit from partner ATMs/locations.
- **Nelo VIP Physical Card**: Plastic card for VIP users to spend at any merchant accepting card payments.
- **Credit History Building**: Nelo reports payments to credit bureaus, helping users build a formal credit history.

## Market Standing
- **Valuation**: Not disclosed (private company)
- **Key funding**: Total raised $123M, including a $100M debt facility / line of credit from Victory Park Capital (announced March 2024)
- **Notable investors**: Victory Park Capital, Crossbeam Venture Partners, Susa Ventures, Homebrew, Primer Capital, and 16+ others
- **Growth signals**: Over 35 million credits granted; 2+ million users; recent partnership with Paymentology to boost financial inclusion; rapid headcount growth across Mexico City and New York offices

## Competitive Advantages
- **First-mover focus on “quincenas”** – biweekly payment model aligned with Mexican pay cycles
- **Deep integration with local payment infrastructure** (Google Wallet, bill payment systems)
- **Data-driven credit scoring** using alternative data to serve the underbanked
- **Small, agile team** that ships quickly and operates as “AI First” (from career page)

## Strategic Focus
- **Expand product ecosystem** (physical card, cash, services beyond retail)
- **Scale credit line and improve underwriting** to manage risk while growing loan book
- **Expand in Mexico** and potentially other Latin American markets
- **Continue hiring across data, engineering, and risk** to support growth (open roles in NYC and CDMX)

## Why Work Here
- **Culture**: “Small team, big results” – every employee is an equity holder; everyone is empowered to ship code (including non-engineering roles)
- **Locations**: Hybrid/remote-friendly with offices in Mexico City (CDMX) and New York City; team-wide meetups at least twice a year
- **Notable perks**: Equity for all, focus on personal growth, “AI First” approach, and a high degree of ownership
- **Engineering culture**: Ship fast, iterate, and learn; roles include Senior Software Engineer, Data Scientist, and Senior Security Engineer

## Sources
1. [nelo.mx (Homepage)](https://www.nelo.mx/es)
2. [nelo.mx (Careers Page)](https://www.nelo.mx/en/trabaja-en-nelo)
3. [jobs.ashbyhq.com (Open Positions)](https://jobs.ashbyhq.com/nelo)
4. [cbinsights.com (Company Profile)](https://www.cbinsights.com/company/nelo)

## Other roles at Nelo

- [Frontend Engineer](https://feeny.ai/job/frontend-engineer-nelo-mexico-city-kyf3p6bd7wxw) — Mexico City, Mexico
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- [Lead Recruiter / Principal](https://feeny.ai/job/lead-recruiter-principal-nelo-new-york-y9kp3acjxw3d) — New York, NY
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