Senior Data Engineer (Node.js / TypeScript)

Job Title:

Senior Data Engineer (Node.js / TypeScript)

Location:

Remote – Brazil

Job Description We are seeking a

Senior Data Engineer

with strong

Node.js and TypeScript

expertise to build scalable backend systems and data services. The ideal candidate will have recent hands-on experience with

Node.js

, strong database expertise in

MongoDB and SQL

, and experience building

high-performance APIs

.

This role focuses on designing and developing scalable backend services that support high-volume data processing and integration across digital platforms. Experience with

GraphQL

is preferred but not mandatory.

Key Responsibilities Design, develop, and maintain scalable backend services using

Node.js and TypeScript

. Build and optimize

REST/GraphQL APIs

for high-performance data access and integration. Develop and maintain

data models and database schemas

across

MongoDB and SQL databases

. Implement scalable

data ingestion and processing pipelines

. Work with distributed systems in a

cloud-based environment

. Ensure performance optimization, reliability, and scalability of backend services. Collaborate with cross-functional teams including product, architecture, and engineering. Participate in

Agile/Scrum ceremonies

such as sprint planning, stand-ups, and retrospectives. Follow

DevOps best practices

, including CI/CD, testing, and monitoring.

Required Skills 5+ years of experience in

backend engineering or data engineering

. Strong

recent hands-on experience with Node.js

. Proficiency in

TypeScript and JavaScript

. Strong experience with

MongoDB and SQL databases

. Experience building

REST APIs or GraphQL APIs

. Solid understanding of

data modeling and database design

. Experience working in

cloud environments (AWS preferred)

. Familiarity with

CI/CD pipelines, testing frameworks, and modern development practices

.

Nice to Have Experience with

GraphQL architecture or schema design

. Experience with

distributed systems and high transaction platforms

. Knowledge of

ETL pipelines and data processing frameworks

. Experience working in

digital media, sports, or high-scale consumer platforms

.

Education Bachelor’s degree in

Computer Science, Engineering, or related field

, or equivalent practical experience.