Data Engineer

Caramel; United States; Remote; USD 96,000 - 152,000; Full time

Job summary

Caramel is seeking a Data Engineer for a 100% remote contractor engagement to design and operate scalable data solutions on Google Cloud Platform. The role supports an international Data Engineering and Analytics initiative centered on BigQuery, modern ETL/ELT practices, and enterprise data warehousing.

You will design, build, and maintain data pipelines, optimize BigQuery, ensure data quality, and collaborate with architecture, analytics, and business stakeholders to deliver reliable data

Qualifications

• Proven data engineer experience.
• Strong Google Cloud Platform and BigQuery experience.
• Advanced SQL skills.
• Experience building ETL/ELT pipelines.
• Solid data warehousing knowledge.
• Familiarity with data quality and testing practices.
• Excellent English communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Profile source systems and implement transformations for analytical use cases.
• Build and maintain data warehouse and data mart solutions.
• Safeguard data quality through validations and unit testing.
• Tune BigQuery for performance, cost, and reliability.
• Collaborate with Data Architecture, Analytics, and business stakeholders.

Skills

Data modeling

Analytical thinking

English communication

Tools

BigQuery

Google Cloud Platform

SQL

Job description

Role overview

A 100% remote contractor engagement for a Data Engineer to design and operate scalable data solutions on Google Cloud Platform. The work supports an international Data Engineering and Analytics initiative centered on BigQuery, modern ETL/ELT practices, and enterprise data warehousing.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes
• Profile source systems and implement data transformations aligned to analytical use cases
• Build and maintain data warehouse and data mart solutions
• Safeguard data quality through validations and unit testing
• Tune BigQuery for query performance, cost efficiency, and reliability
• Partner with Data Architecture, Analytics, and business stakeholders on delivery

Requirements

• Professional experience as a Data Engineer
• Strong hands‑on experience with Google Cloud Platform and BigQuery
• Advanced SQL skills
• Proven track record building ETL/ELT pipelines
• Solid grasp of data warehousing concepts
• Familiarity with data quality and testing practices
• Excellent English communication skills

Nice to have

• Experience with AI or LLM technologies and APIs such as OpenAI, Anthropic, or similar providers
• Background in large-scale data environments or cloud data modernization initiatives

Benefits and work setup

• 100% remote contractor engagement based in Argentina
• Excellent level of English required for daily collaboration