Remote Senior AI & Data Engineer

Encora; Colombia; Remote; COP 388,387,000 - 582,581,000; Full time

Job summary

Coforge is seeking a Senior Data Engineer + AI to design, build, and operate AI-powered data platforms in a remote setup. You will lead cloud-native data pipelines using Python, SQL, AWS, and Databricks, delivering scalable, production-ready AI solutions and agentic systems.

The role requires 7+ years in software, data, or AI engineering, strong data governance, and experience with modern analytics ecosystems. Remote work is supported, with collaboration across global teams and stakeholders.

Qualifications

• 7+ years of experience in Software/Data/AI Engineering.
• Strong Python and SQL proficiency.
• Hands-on AWS cloud-native development experience.
• Proven experience with Databricks, Spark, DBT, and data pipelines.
• Experience designing APIs, backend services, and scalable workflows.

Responsibilities

• Design, develop, and maintain AI-powered applications and cloud-native data platforms.
• Build end-to-end data pipelines using Databricks, Spark, DBT with strong data governance.
• Develop production-ready AI/LLM-powered solutions and API-driven services.
• Collaborate with cross-functional teams to drive engineering best practices and reliability.

Skills

Python

SQL

AWS

Databricks

Apache Spark

DBT

LLMs

AI Engineering

Data Architecture

TypeScript

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent

Tools

Fivetran

Delta Lake

AWS Bedrock

AgentCore

Strands

CI/CD for Data Eng

Job description

Coforge is seeking a Senior Data Engineer + AI to design, build, and operate AI-powered data platforms in a remote setup. You will lead cloud-native data pipelines using Python, SQL, AWS, and Databricks, delivering scalable, production-ready AI solutions and agentic systems.

The role requires 7+ years in software, data, or AI engineering, strong data governance, and experience with modern analytics ecosystems. Remote work is supported, with collaboration across global teams and stakeholders.