Senior Data Engineer + AI

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

Key Skills: Python, SQL, AWS, Databricks, Apache Spark, DBT, LLMs, AI Engineering, Data Architecture, TypeScript

Experience: 7+ years of experience.

Mode: Remote.

We at Coforge are hiring Senior Data Engineer + AI (#22552) with the following skill set.

Key Responsibilities

• Design, develop, and maintain AI-powered applications, scalable backend services, and cloud-native data platforms using Python, TypeScript, AWS, and modern AI technologies.
• Build and optimize end-to-end data pipelines using Databricks, Apache Spark, DBT, and modern data engineering practices while ensuring data quality, governance, and observability.
• Develop production-ready AI and LLM-powered solutions, including agentic AI systems, conversational AI, and API-driven services that support internal and customer-facing applications.
• Collaborate with cross-functional teams to drive technical decisions, improve engineering best practices, and deliver scalable, reliable AI and data solutions.

Required Skills & Qualifications

• 7+ years of experience in Software Engineering, Data Engineering, or AI Engineering.
• Strong expertise in Python and SQL.
• Hands-on experience building cloud-native applications on AWS.
• Proven experience with Databricks, Apache Spark, and modern data engineering frameworks.
• Experience designing and developing APIs, backend services, distributed systems, and scalable workflows.
• Hands-on experience building and deploying AI or LLM-powered applications in production.
• Strong knowledge of data architecture, dimensional modeling, Data Vault, Medallion Architecture, data governance, and data quality frameworks.
• Experience building DBT transformation pipelines, testing frameworks, and data validation processes.
• Strong communication, collaboration, and problem-solving skills in cross-functional environments.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent professional experience.

Preferred Skills

• Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks.
• Knowledge of conversational AI, agent-based systems, and AI platform development.
• Experience with Fivetran, Delta Lake, and modern analytics ecosystems.
• Familiarity with CI/CD practices for Data Engineering and AI platforms.
• Experience implementing monitoring, observability, and governance solutions for AI-driven applications.

Posted On: 04-08-2026

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.