Remote Data Engineer (AWS) — Pipelines & Integrations

Velozient; Colombia; Remote; COP 231,107,000 - 363,168,000; Full time

Job summary

Velozient is seeking a Junior to Mid-Level Data Engineer for a full-time, remote, 12-month project with a U.S. client.

You will design and maintain secure, scalable data pipelines, integrate Salesforce with AWS environments, and deliver production-grade data solutions with robust cybersecurity and access controls. The ideal candidate has 1+ years of data engineering experience, strong SQL, AWS data services familiarity, and English communication skills.

Qualifications

• 1+ years of professional data engineering experience
• Experience with AWS data services (S3, Lambda, RDS, Glue, Redshift)
• Experience designing scalable data pipelines
• Strong SQL and data modeling knowledge
• Excellent English communication skills

Responsibilities

• Design, develop, and maintain scalable data pipelines and data integrations within AWS
• Build integrations between Salesforce, ERP systems, and AWS databases
• Develop and optimize ETL/ELT processes for reliable data movement
• Design data architectures to support operational apps and business needs
• Implement cybersecurity best practices including IAM, encryption, RBAC
• Monitor, troubleshoot, and optimize data pipelines and database performance
• Collaborate with back-end and front-end developers to ensure data availability
• Leverage AI-assisted development tools to boost productivity while ensuring security

Skills

English communication

Data engineering

SQL

Security practices

Collaboration

Startup experience

Education

University degree or equivalent experience

Tools

Salesforce

Python

AWS (S3, Lambda, RDS, Glue, Redshift)

Job description

Velozient is seeking a Junior to Mid-Level Data Engineer for a full-time, remote, 12-month project with a U.S. client.

You will design and maintain secure, scalable data pipelines, integrate Salesforce with AWS environments, and deliver production-grade data solutions with robust cybersecurity and access controls. The ideal candidate has 1+ years of data engineering experience, strong SQL, AWS data services familiarity, and English communication skills.