About the role

Design and maintain AI-powered applications and scalable cloud-native data platforms using Python, TypeScript, and AWS. Build and optimize end-to-end data pipelines while developing production-ready LLM-powered solutions and agentic AI systems.

What they look for

Python SQL AWS Databricks Apache Spark Dbt LLMs AI Engineering Data Architecture TypeScript Data Governance Dimensional Modeling Data Vault Medallion Architecture API Development Distributed Systems

Requirements

Requires 7+ years of experience in Software, Data, or AI Engineering with strong expertise in Python, SQL, and cloud-native AWS development. Candidates must possess a bachelor's degree and proven experience with Databricks, Apache Spark, and modern data engineering frameworks.

Full description

Job Title: Senior Data Engineer + AI

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

Experience: 7+ years of experience.

Location: Costa Rica, Peru, Colombia, Bolivia.

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.