Data Engineer (Python | Airflow | Machine Learning)
Team: Data Analytic
Location: São Paulo, Brasília, Federal District, Brazil, Buenos Aires Province, Bogota,D.C., Capital District, Mexico City, Recife, Pernambuco, Brazil, Cordoba
Commitment: Remote
Workplace Type: remote
We are looking for a Data Engineer with strong experience in building scalable data pipelines and exposure to Machine Learning workflows.
This role focuses on designing and maintaining robust data infrastructure while supporting data-driven and AI-powered applications. You will work closely with data scientists, engineers, and product teams to ensure data is reliable, accessible, and ready for advanced use cases.
We are looking for someone who combines strong engineering fundamentals with the ability to support ML pipelines and data workflows in production environments.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Python and Airflow
- Develop and optimize ETL/ELT processes for structured and unstructured data
- Collaborate with data science teams to support Machine Learning workflows
- Ensure data quality, reliability, and performance across systems
- Work with large datasets and optimize queries and transformations
- Integrate data from multiple sources and external systems
- Monitor and improve pipeline performance and reliability
- Support deployment and maintenance of data-driven and ML-enabled applications
Must-Have:
- 4+ years of experience in Data Engineering or similar roles
- Strong proficiency in Python for data processing and pipeline development
- Hands-on experience with Apache Airflow (or similar orchestration tools)
- Experience building and maintaining ETL/ELT pipelines in production
- Strong knowledge of SQL and relational databases
- Experience working with large-scale datasets
- Exposure to Machine Learning workflows or data pipelines supporting ML models
- Experience working with cloud environments (AWS, GCP, or Azure)
- Strong problem-solving skills and ability to work independently
Nice to Have:
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data warehouses (Snowflake, BigQuery, Redshift)
- Experience with streaming technologies (Kafka, Kinesis)
- Familiarity with feature engineering and model data preparation
- Experience with CI/CD pipelines for data workflows
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say