Senior Data Engineer
Quick Summary
#FastGrowingCompany #GreatPlaceToWork As you should already know, the technology industry is constantly growing, today more than ever! This is why we are always in search of the best tech talent in Latin America to integrate multidisciplinary, multicultural teams all over the world.

As you should already know, the technology industry is constantly growing, today more than ever! This is why we are always in search of the best tech talent in Latin America to integrate multidisciplinary, multicultural teams all over the world.
As a #PeopleFirst company, we will care about you. That's why we want you to join the #AlliedExperience and upgrade your career, we have excellent benefits, with a comfortable and modern work culture, where you can develop to the fullest.
🚀 We’re Hiring: Senior Data Engineer
We are looking for a highly skilled Senior Data Engineer to join our growing team and help design, build, and optimize scalable data systems that power analytics and machine learning initiatives.
In this role, you will work within a SaaS and on-premise hybrid deployment environment, playing a key role in structuring and improving data flow across the platform while extending and maintaining our Elastic Hierarchy framework.
🔹 Key Responsibilities:
• Design and maintain scalable ETL/ELT pipelines using Python
• Integrate and process data from multiple sources and formats (JSON, CSV, XML)
• Build orchestration workflows using DBT, Airflow, Prefect, or Dagster
• Ensure data governance, quality, and security standards
• Optimize and extend the Elastic Hierarchy data framework
• Collaborate with analytics, ML, and product teams to deliver reliable datasets
• Support hybrid SaaS and on-premise data operations
🔹 Required Skills & Experience:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• Strong Python development experience
• Hands-on experience with AWS services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS
• Experience with Snowflake, MongoDB, and PostgreSQL
• Knowledge of DBT and orchestration tools (Airflow, Prefect, or Dagster)
• Understanding of data mapping, attribution, and reconciliation processes
• Ability to work effectively in hybrid/on-premise environments
• Strong English communication skills
📍 Full-time opportunity
💡 Join a team where your work directly impacts data-driven innovation and scalable platform development.
If you are passionate about modern data engineering and building high-performance data systems, we’d love to hear from you!
Location & Eligibility
Listing Details
- Posted
- May 14, 2026
- First seen
- May 14, 2026
- Last seen
- May 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 59%
- Scored at
- May 15, 2026
Signal breakdown
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