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Senior Data Engineer

Avenida das Nações Unidas, 12901,11° andar São Paulo
Level
Senior

Not stated in the posting: salary, work type, visa.

Open. First seen 2 October 2026.

About the role

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.

  • Develop, schedule, and monitor data pipelines using Apache Airflow.
  • Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
  • Optimize ETL processes for performance, reliability, and scalability.
  • Maintain and improve data architecture, ensuring data integrity and security.
  • Troubleshoot and resolve pipeline failures and performance bottlenecks.
  • Provide technical leadership and guidance in the implementation of technical solutions, ensuring alignment with industry standards and compliance requirements.
  • Document architectural decisions, strategies, and implementation guidelines for future reference.
  • Lead by example, promoting engineering excellence and a culture of continuous improvement.
  • Coach and upskill team members by providing technical guidance, pair programming, design reviews, and knowledge sharing.

What we are looking for:

  • A degree in Computer Science, Statistics, Engineering, Economics, or a related field.
  • Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.
  • Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.
  • Excellent problem-solving skills, with the ability to troubleshoot complex technical issues.
  • Curiosity: You are always looking for innovative solutions for your clients. You get involved in the entire value chain, which can include front-end, back-end, big data infrastructure, ML models.
  • Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.
  • Entrepreneurship: You bring solutions, new ideas, and innovations.
  • Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

What We Offer:

  • Meal/Transportation Allowance (VR/VT)
  • Free Office (work from home or anywhere you want!)
  • Gympass
  • Insurance: Life, Health, and Dental
  • Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
  • Woba (you can book coworking spaces anywhere you want!)
  • Semi-annual evaluations (with opportunities for promotion)

Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

What this role asks for

Particular to this role

Airflow

Rare in LinkedIn Job Wrapping's other 56 open postings.

Standard for data engineering roles

ETL

Common in data engineering postings at any company.

Read against LinkedIn Job Wrapping's other open postings on this site.

The team: Data Engineering HIRES STEADILY

This role is one of 17 open in Data Engineering. 5 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

AWS (15 of 17), Python (15 of 17), CI/CD (13 of 17), GCP (13 of 17), Azure (12 of 17), Machine Learning (12 of 17), React (9 of 17)

OTHER ROLES ON THIS TEAM

From the team and dates on LinkedIn Job Wrapping's own job board.

Salary context

101 other open postings titled Senior Data Engineer state a salary: median USD 150,400 to USD 200,000 a year.

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