Software Engineer, Data Integrations

BlawkAI; Contagem; Presencial; BRL 120.000 - 160.000; Tempo parcial

Resumo da oferta

A technology firm in Brazil is seeking a Software Engineer (Data Integrations) to design and develop automation pipelines for ingesting and enriching large datasets. The role requires proficiency in JavaScript/TypeScript and experience with data engineering. You'll work closely with the engineering team, implementing robust data systems to enhance data accuracy and scalability. This position begins part-time and can transition to full-time based on performance.

Qualificações

• 3+ years of experience in software engineering or data engineering.
• Strong coding skills in JavaScript/TypeScript.
• Experience integrating front end with backend applications.

Responsabilidades

• Develop and maintain automation scripts and data ingestion pipelines.
• Build data mappers translating multiple schemas into a unified model.
• Implement error handling, logging, and monitoring for ingestion jobs.
• Collaborate to refine database structure and enrichment logic.
• Document workflows to support scalability and future maintenance.

Conhecimentos

JavaScript / TypeScript

NestJS

Node.js

SQL

Web automation frameworks (Playwright, Puppeteer)

Data Structures fundamentals

Strong ownership mindset

Communication in English

Ferramentas

PostgreSQL

Supabase

Descrição da oferta de emprego

Blawk is building next-generation infrastructure to automate and analyze financial data at scale across the entertainment and creator economy. We’re looking for a Software Engineer (Data Integrations) to help design and develop reliable automation pipelines for ingesting, mapping, and enriching large datasets from multiple external platforms. You’ll play a key role in connecting Blawk’s backend systems to external data sources, ensuring our data remains accurate, normalized, and scalable.

You’ll collaborate closely with our Founding Engineer to bring new data integrations online, enhance our normalization logic, and improve the reliability of ingestion across multiple environments.

This will start part-time, and advance to Full-time depending on performance.

What the Candidate Will Do

• Develop and maintain automation scripts and data ingestion pipelines from external dashboards or portals.
• Build data mappers that convert multiple schemas into a unified internal data model.
• Implement error handling, logging, and monitoring for all ingestion jobs.
• Collaborate with the engineering team to refine the database structure and enrichment logic.
• Document integration workflows to support scalability and future maintenance.
• Work independently with clear milestones while communicating progress proactively.

Basic Qualifications

• 3+ years of experience in software engineering or data engineering , preferably in backend or automation-heavy environments.
• Strong coding skills in JavaScript / TypeScript, mainly inside NestJS and Node.js
• Strong Experience integrating front end with backend applications such as Next.js
• Experience with web automation frameworks (Playwright, Puppeteer, or similar).
• Solid understanding of SQL-based data modeling and transformation pipelines.
• Working proficiency in English (does not need to be fluent but able to communicate clearly with the team).
• Strong ownership mindset and ability to deliver production-quality code with minimal oversight
• Algorithm & Data Structures fundamentals, including hash tables, trees, stacks, queues, linked list, DFS, BFS.
• Experience in hands-on software development with thoughtfulness of scale, latency and distributed architecture.

Preferred Qualifications

• Experience with Supabase, PostgreSQL, or other modern cloud databases .
• Background in ETL pipelines, data normalization, or automation frameworks .
• Familiarity with browser automation, headless environments, or task scheduling tools & Queue managers.
• Passion for building reliable data systems that simplify complex workflows.

Bonus If

• experience working in media, entertainment, or fintech data systems.
• Experience with international stakeholders