Senior Data & AI Engineer (Remote) - Scalable AI Pipelines

Encora Inc.; Bogotá ciudad; Remote; COP 286,469,000 - 477,449,000; Full time

Job summary

Coforge is hiring a Senior Data & AI Engineer for a remote role to design and build AI-powered applications and data backends using Python, TypeScript, AWS, and related data platforms.

You will develop scalable data pipelines with Databricks, DBT, and Spark, architect data governance, and ensure quality across AI and data platforms while collaborating with cross-functional teams to deliver production-ready solutions.

Qualifications

• 7+ years of software engineering experience delivering production-grade systems.
• Strong expertise in Python and SQL.
• Experience building cloud-native applications, preferably on AWS.
• Strong hands-on experience with Databricks, Apache Spark, and modern data engineering practices.

Responsibilities

• Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS, including agentic and LLM-powered solutions.
• Build scalable end-to-end data ingestion and transformation pipelines using Databricks, DBT, Apache Spark, and related technologies.
• Design and implement scalable data architectures, modeling, governance, data quality, monitoring, and observability across AI and data platforms.
• Collaborate with Engineering, Product, Data, and Business teams to deliver production-ready solutions while driving technical decisions, engineering practices, scalability, and reliability.

Skills

Python

SQL

AWS

Databricks

Apache Spark

DBT

Generative AI

LLMs

Data Engineering

Data Architecture

TypeScript

Job description

Coforge is hiring a Senior Data & AI Engineer for a remote role to design and build AI-powered applications and data backends using Python, TypeScript, AWS, and related data platforms.

You will develop scalable data pipelines with Databricks, DBT, and Spark, architect data governance, and ensure quality across AI and data platforms while collaborating with cross-functional teams to deliver production-ready solutions.