New opportunity

Data / Backend Engineer

LATAM Remoto Senior

About the company

We help businesses evolve from Digital-Native to AI-Native.

With 20 years of experience, we’re shaping the future of next-generation applications with expertise spanning the data and AI lifecycle - from modern data platforms and AI agents to secure cloud architectures and human-centered product experiences.

Headquartered in Austin, Texas, Qubika is supported by offices and delivery centers across the US and Latin America. Our team of 1,100 experts includes more than 300 AI Engineers and Forward-Deployed Engineers, helping clients rapidly design, build, and scale AI solutions.

About the role

We are looking for a Data / Backend Engineer with strong data engineering experience and the ability to work across backend development, cloud infrastructure, and DevOps.

You’ll work on data-intensive systems involving streaming pipelines, event-driven architectures, cloud services, and data quality, helping build and maintain reliable solutions that process and reconcile data from multiple sources.

We’re looking for someone who is curious, highly proactive, and comfortable working across different technical areas. You should be able to learn new technologies quickly, navigate ambiguity, and investigate complex technical challenges independently. The role requires someone willing to experiment, dig into unfamiliar systems, and become an expert when needed.

You’ll also have the opportunity to work directly with technology vendors and support teams, so strong communication and the ability to clearly explain technical challenges and solutions are important.

Responsibilities

Design, build, and maintain streaming data pipelines and event-driven systems.
Develop backend applications and services using Python and Scala.
Build and operate cloud-based solutions using AWS, including ECS Fargate, Lambda, EventBridge, SQS, and DynamoDB.
Work with Kafka to develop and maintain distributed, event-driven data processing systems.
Design and maintain data engineering solutions using MongoDB and other data stores.
Build infrastructure as code using AWS CDK with TypeScript or Terraform.
Develop and maintain CI/CD pipelines to support reliable and automated software delivery.
Build and maintain REST APIs using technologies such as API Gateway and Lambda.
Design and improve data pipelines and processes that identify and resolve duplicate, conflicting, or inconsistent records across multiple data sources.
Investigate complex technical issues and collaborate with internal and external technical teams when needed.

Requirements

Strong professional experience with Python.
Solid experience with Scala, including application development and scripting.
Strong hands-on experience with AWS, particularly ECS Fargate, Lambda, EventBridge, SQS, and DynamoDB.
Strong experience with Kafka and event-driven architectures.
Proven experience designing and maintaining streaming data pipelines.
Solid data engineering experience, including working with MongoDB.
Experience with Infrastructure as Code, preferably AWS CDK with TypeScript
Terraform is also acceptable.
Experience building and maintaining CI/CD pipelines.
Experience developing APIs, preferably REST APIs using API Gateway and Lambda.
Experience working with data reconciliation, deduplication, or entity resolution across multiple data sources is highly valuable.

Nice to have

Hands-on experience with DynamoDB.
Experience with Terraform.
Experience with Confluent Kafka.
Experience with Change Data Capture (CDC).
Experience working with customer, voter, contact, or other identity-related datasets.
Experience interacting directly with technology vendors or technical support teams.

Benefits

Prima de salud
Clases de inglés y de portugués (grupos de 1, 2 o 3 hs semanales) + workshops temáticos
20 días de vacaciones pagos
8 feriados anuales observados (varían por país)
Career Path + Performance Review
Trainings: cursos y certificaciones en AWS y Databricks
Laptop enviada al domicilio
Bonos por referidos.