Remote Data Engineer - Palantir Foundry & ETL

BairesDev; México; Remote; MXN 1,107,000 - 1,846,000; Full time

Benefits offered by this job

100% remote

USD or local currency

Hardware provided

Flexible hours

Paid parental leave

Global multicultural team

Mentorship & growth

Job summary

BairesDev is seeking a Data + Palantir Foundry Engineer to design and maintain data pipelines and analytics solutions using Palantir Foundry. You will combine Foundry expertise with strong data engineering skills to deliver scalable data solutions driving business insights.

Join a 100% remote team offering USD or local currency pay, hardware setup, flexible hours, and a multicultural global environment. Collaborate with analysts and business teams to meet data needs and deliver impact.

Qualifications

• 3+ years of experience with Palantir Foundry platform.
• Advanced Python development for data processing.
• Proficiency in SQL and database technologies.
• Experience with data modeling and schema design.
• Knowledge of ETL processes and data pipeline development.
• Advanced level of English.

Responsibilities

• Design and implement data pipelines using Palantir Foundry.
• Develop data transformations and ETL processes.
• Create data models to support analytics and reporting requirements.
• Write Python scripts for data processing and automation.
• Develop SQL queries for data extraction and analysis.
• Collaborate with data analysts and business teams to understand data requirements.

Skills

Python

SQL

Data modeling

ETL

Advanced English

Tools

Palantir Foundry

Job description

BairesDev is seeking a Data + Palantir Foundry Engineer to design and maintain data pipelines and analytics solutions using Palantir Foundry. You will combine Foundry expertise with strong data engineering skills to deliver scalable data solutions driving business insights.

Join a 100% remote team offering USD or local currency pay, hardware setup, flexible hours, and a multicultural global environment. Collaborate with analysts and business teams to meet data needs and deliver impact.