Backend Data Engineer, Latin America

Virtasant

Backend Data Engineer focused on creating data solutions for real estate platforms. Involves high-volume data management and collaboration with engineering teams.

Posted 4/14/2026full-timeRemote • 💃 Anywhere in Latin AmericaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

ETLJavaScriptMySQLPHPPostgresPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain our client's data pipelines and data warehouses for user-facing features, analytics, and aiding business intelligence.
Develop ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
Define automated solutions to solve complex problems and better understand our clients' data, users, and market.
Assist the overall engineering team with database design and data flows
Develop engineering best practices, documentation, and process flows that facilitate collaboration and knowledge transfer.

Requirements

What you’ll need

2 to 5 years of experience working as a Data Engineer or Backend Engineer
Expert-level understanding of SQL-based database design and usage
Expert-level proficiency in at least one programming language (Ideally Python, but PHP or JavaScript could work too)
Professional experience in high-volume ETL systems.
Effective communication with engineering peers, project managers, and business stakeholders.

Benefits

Comp & perks

Totally remote, full-time (40h/week)
Work hours - 8 hours, with US Central time overlap (10 AM - 4 PM)
Independent contractor agreement (after the first 6-month trial, it's a long-term, no-end-date contract)
Payment in USD, biweekly or monthly - your choice

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesdata warehousesETLSQLPythonPostgreSQLMySQLAirbyteSnowflakedbt

Soft Skills

effective communicationcollaborationproblem-solving