Data Engineer - Remote

Monetize More Inc; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

An ad-tech company in São Paulo is seeking a skilled Data Engineer to design and maintain data pipelines and analytics infrastructure. The ideal candidate has 2-3 years of relevant experience, strong SQL skills, and proficiency in Python and Apache Airflow. This fully remote position offers competitive pay and the chance to work with large data platforms. Collaborate with a global team and take part in a fast-paced environment focusing on data optimization and revenue growth.

Serviços

Fully remote work environment

Competitive salary

Career growth opportunities

Collaborative global team culture

Qualificações

• 2–3 years of experience as a Data Engineer or similar role.
• Strong SQL skills including query optimization and data modeling.
• Hands-on experience with Apache Airflow.

Responsabilidades

• Design, build, and maintain ETL / ELT pipelines for structured and semi-structured data.
• Develop and manage workflows using Apache Airflow.
• Write efficient SQL queries for analytics and reporting.

Conhecimentos

SQL

Python

Apache Airflow

Data Warehousing

Ferramentas

Apache Spark

AWS

GCP

Descrição da oferta de emprego

About MonetizeMore

MonetizeMore is a global ad-tech company helping publishers maximize their ad revenue through data-driven optimization and advanced monetization solutions.

We work with thousands of publishers worldwide and rely heavily on scalable, reliable data systems to power insights, automation, and decision-making.

Role Overview

We are looking for a Data Engineer with 2–3 years of hands-on experience to help design, build, and maintain robust data pipelines and analytics infrastructure.

You will work closely with analytics, product, and engineering teams to ensure high-quality, reliable, and scalable data systems.

This role is ideal for someone who enjoys working with large datasets, building automated workflows, and optimizing data performance.

Key Responsibilities

• Design, build, and maintain ETL / ELT pipelines for structured and semi-structured data
• Develop and manage workflows using Apache Airflow (DAG creation, scheduling, monitoring, and optimization)
• Write efficient, optimized SQL queries for analytics and reporting
• Ensure data accuracy, integrity, and reliability across pipelines
• Work with large datasets and optimize data storage and retrieval
• Collaborate with data analysts and product teams to enable actionable insights
• Troubleshoot pipeline failures and improve system performance
• Document data workflows, schemas, and best practices

Required Qualifications

• 2–3 years of experience as a Data Engineer or similar role
• Strong SQL skills (query optimization, joins, window functions, data modeling)
• Hands-on experience with Apache Airflow
• Experience building and maintaining production-grade data pipelines
• Proficiency in Python for data processing and orchestration
• Solid understanding of data warehousing concepts
• Experience working with cloud-based data platforms (AWS, GCP, or similar)

Good to Have

• Experience with Apache Spark (batch or distributed data processing)
• Familiarity with big data ecosystems and tools
• Experience with ad-tech, analytics, or revenue optimization data
• Knowledge of CI / CD practices for data pipelines

What We Offer

• Fully remote work environment
• Competitive salary and performance-based growth
• Opportunity to work with large-scale, real-world data
• Learning and career growth in a fast-paced ad-tech company
• Collaborative, supportive, and global team culture