Avenida das Nações Unidas, 12901, 11° andar São Paulo
Live, first seen by us 30 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Optimize ETL processes for performance, reliability, and scalability
Troubleshoot and resolve pipeline failures and performance bottlenecks
Collaborate with data analysts, scientists, and engineering teams
Coach team members through pair programming, design reviews, and knowledge sharing
Optimize ETL processes for performance, reliability, and scalability.
Troubleshoot and resolve pipeline failures and performance bottlenecks.
Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
Coach and upskill team members by providing technical guidance, pair programming, design reviews, and knowledge sharing.
hands-on experience in Apache Airflow
You have a good knowledge of python
you are familiar or have already used cloud technologies such as GCP (Google Cloud Platform)
you have already used big data technologies like Beam (Dataflow), Spark (Dataproc), or Flink and Docker (GKE is an asset)
Fluent English: You are comfortable communicating in English
From the employer’s posting.
At Artefact LatAm, we believe in and live a culture based on empathy!
In the employer’s words · Read in context
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- You act on all the value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations, of front-ends, of tests, continuous deployments) - You have a good knowledge of python (Java and Scala are an asset), you know how to navigate *nix thank to CLI, you are familiar or have already used cloud technologies such as GCP (Google Cloud Platform), you have already used big data technologies like Beam (Dataflow), Spark (Dataproc), or Flink and Docker (GKE is an asset) - You can popularize technical terms or solutions to more business oriented profiles, you can work in a team with very diversified profiles
What you will be doing: We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products. - You act on all the value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations, of front-ends, of tests, continuous deployments)
- You know how to prioritize your tasks, respect deadlines, prevent in case of problems - Develop, schedule, and monitor data pipelines using Apache Airflow. - Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Who we are
At Artefact LatAm, we believe in and live a culture based on empathy!
A healthy work environment is a place where all voices are heard, respected, and valued.
Our commitment is to build a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief.
We want incredible minds and hearts to join us! Come be Artefact!
What you will be doing:
We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products.
What we are looking for:
What We Offer:
Why you should join us
Come join us!
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Avenida das Nações Unidas, 12901, 11° andar São Paulo
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