Backend Data Engineer

Virtasant

Backend Data Engineer building data pipelines and supporting engineering teams for online real estate marketplaces. Role involves designing data strategies and managing terabytes of real estate data.

Posted 5/9/2026contractRemote • 💃 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

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLSQLPythonPostgreSQLMySQLAirbyteSnowflakedbtAmazon S3

Soft Skills

effective communicationcollaborationproblem-solving