Data Platform Engineer Ii (Contract)

Spring Financial; México; A distancia; MXN 612.000 - 857.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Growth opportunities

Ownership

Descripción de la vacante

Spring Financial busca un Data Platform Engineer II para construir y escalar infraestructura de datos basada en AWS y Snowflake, integrando capacidades de IA y trabajando con equipos multifuncionales. Se valorará experiencia en pipelines en tiempo real y diseño de datos seguro.

La posición es remota desde México, con impacto directo en analítica y gobierno de datos, buscando entrega end-to-end y alta calidad de código, pruebas y documentación.

Formación

• Experiencia en pipelines de datos con Snowflake y herramientas AWS.
• Experiencia en sistemas de datos en tiempo real (Kafka, Kinesis, Flink, Spark Streaming).
• Conocimientos de modelado de datos y diseño de datos seguro.
• Fluidez en Python y SQL; experiencia con infraestructura como código (Terraform o CDK).
• Uso práctico de IA en desarrollo y capacidad para incorporar IA en la plataforma.
• Historial entregando proyectos end-to-end con valor de negocio.
• Buenas habilidades de comunicación y colaboración.
• Capacidad de trabajar de forma autónoma en entornos ambiguos.

Responsabilidades

• Construir y mantener pipelines de datos escalables y seguros en AWS y Snowflake.
• Contribuir a iniciativas para modernizar flujos de datos y habilitar analítica self-serve.
• Aplicar estándares de ingeniería en pruebas, observabilidad y CI/CD en sistemas de datos.
• Incorporar capacidades IA en pipelines de datos y prácticas de desarrollo.
• Trabajar con equipos y socios para aclarar requerimientos y mitigar riesgos.
• Comunicar el progreso y trade-offs técnicos a partes interesadas no técnicas.
• Participar en diseño técnico y revisión de código, promoviendo buenas prácticas.

Conocimientos

Snowflake

AWS

Python

SQL

Terraform

CDK

AI tools

Data modeling

Communication

Collaboration

Herramientas

dbt

Kafka

Kinesis

Flink

Spark Streaming

Glue

Lambda

Step Functions

Terraform

CDK

Descripción del empleo

Data Platform Engineer II (Contract)

Empresa : Spring Financial Tipo de empleo : Tiempo completo Mexico

Spring Financial is a Canadian financial technology company focused on making every day financial services simpler, faster, and more accessible. We build technology that helps Canadians build credit, save money, and access lending products without unnecessary friction. Our platforms allow customers to apply and manage their finances online, by text, or over the phone, making the experience convenient and flexible. Since launching in 2014, Spring has grown into one of Canada’s largest fintechs, with 250,000+ product originations across credit-building products, personal lending, and mortgage solutions. We’re a fast-growing, product-driven team that values practical solutions, strong execution, and thoughtful collaboration. We give people ownership, trust them to make decisions, and focus on building systems that scale reliably. If you’re interested in working on real-world fintech platforms used by hundreds of thousands of Canadians, Spring offers the opportunity to make a tangible impact through well-built technology.

About the role: As a Data Platform Engineer II at Spring, you are a hands‑on builder who delivers reliable, scalable data infrastructure. You’ll work across our core stack of AWS, Snowflake, dbt, and Airflow to build pipelines and platform components that are secure, observable, and aligned with business needs. You’ll own meaningful pieces of our data platform end to end: scoping the work, making the call on implementation, and shipping it. You’ll make practical use of AI in your day‑to‑day engineering (e.g., for testing, schema discovery, and code generation) and contribute to AI‑enabled features in the platform itself (e.g., automated QA, anomaly detection). Working with partners across Finance, Risk, Product, Analytics, and Engineering, you’ll help clarify requirements, set and meet SLAs, and make sure the data you deliver is trustworthy.

What you’ll do: Platform & Pipeline Engineering

• Build and maintain scalable, secure, and reliable data pipelines and platform components across AWS and Snowflake
• Help scope and deliver initiatives that modernize legacy data flows, bring together batch and streaming sources, and enable self‑serve analytics across the organization.
• Apply and help improve our engineering standards around testing, observability, security, and CI/CD within data systems.

AI Integration

• Help build AI capabilities into data pipelines (e.g., anomaly detection, automated tagging) and use AI in your own development practices (e.g., assisted testing, documentation).
• Stay curious about how agentic and AI‑driven workflows are changing data platform requirements, and bring what you learn back to the team.

Cross-Functional Partnership

• Work with engineers and business partners to clarify requirements, surface risks early, and propose practical solutions.
• Partner with Analytics, ML, Finance, and other business teams to deliver data with the latency, accuracy, and governance their use cases need.
• Communicate clearly about your work and its constraints, and be comfortable explaining technical trade‑offs to non‑technical partners.

Craft & Growth

• Contribute to technical design discussions and code reviews, and to the ongoing evolution of our data architecture.
• Take ownership of the problems you pick up, holding a high bar for quality, documentation, and engineering craft, and seeing work through to production.
• Sharpen your technical judgment through code review and design discussion with peers across data, software, and analytics engineering, and share what you know in return.

What we're looking for:

Requirements

• Solid experience building data pipelines using Snowflake and AWS-native tools (e.g., Glue, Lambda, Redshift, Step Functions)
• Working experience with real‑time data systems such as Kafka, Kinesis, Flink, or Spark Streaming
• Good working knowledge of data modeling, schema evolution, and secure, privacy-conscious data design
• Fluency in Python and SQL; some exposure to infrastructure‑as‑code (e.g., Terraform or CDK)
• Practical use of AI tools in your development workflow, and interest in building AI into the platform itself
• Track record of delivering projects end to end, with an eye on the business value behind them
• Strong communication and collaboration skills; a reliable partner to both engineering and business teams
• Self‑directed in ambiguity: comfortable asking good questions, acting on feedback, and taking on broader scope over time

Nice to have

• Experience with dbt or analytics engineering patterns.
• Familiarity with ML platform tooling or feature store design.
• Background in fintech, credit risk, or other regulated data environments.

What we will give you:

• A competitive annual salary ranging from $612,000-$857,000 MXN, based on experience and impact.
• The flexibility to work fully remotely from anywhere in Mexico.
• A collaborative environment that supports learning, innovation, and professional growth.
• The opportunity to work on business‑critical data infrastructure and platform initiatives with meaningful ownership and impact.
• Hands‑on exposure to AWS, Snowflake, real‑time data systems, and modern data engineering practices, with opportunities to explore and build AI‑enabled capabilities.

Sobre la empresa

Spring Financial

Skip the branch visit and get approved online for personal loans, credit‑building programs, and more. Get money today by e‑transfer. All credit accepted.

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