TECLA

Data Engineer in TECLA

Closed job - No longer receiving applicants

TECLA has been working with top U.S. technology and software companies since 2013. We work with modern stacks and on exciting projects and products filled with rewarding challenges.

We are a fully remote and distributed company and we are lucky enough to have a diverse and multi-national team with team members in the U.S., Mexico, Chile, Peru, Colombia, Argentina, Brazil, Costa Rica, and Venezuela.

Job functions

You will work with our Data Team, embarking on some very large and interesting projects to process data in real-time. This is an exciting opportunity to work with a multi-national team that will allow you to grow and will constantly challenge your knowledge. If you enjoy working as part of a highly collaborative team on ambitious projects, while also being self-sufficient when it comes to execution, this would be the right place for you.

Qualifications and requirements

  • +4 years of experience working in Data Engineering.
  • +3 years (the more the better) years working with Python and ETL experience preferable with Airflow.
  • Ability to thrive in a fast-paced, rapidly evolving startup environment.
  • Excellent verbal, written, and visual communication skills.
  • Reliable: you always do what you say you will do.

Intermediate or advanced spoken English is required for ALL opportunities. If you can't speak English yet, please keep practicing and apply in the future.

Desirable skills

  • Experience with: AWS ecosystem, ElasticSearch, Ruby/Rails, Django and Heroku
  • Experience setting up and managing internal API services

Conditions

  • 15 days of Paid Time Off per year (Increased to 20 days after 2 years working here).
  • 11 holidays per year.
  • A monthly gym bonus.

Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Informal dress code No dress code is enforced.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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