Senior Data & AI Engineer

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

Job Title: Senior Data & AI Engineer

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

Experience: 7+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia.

Mode: Remote

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

Key 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.

Required Skills & 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.
• Experience designing APIs, backend services, workflows, and distributed systems.
• Hands-on experience developing AI or LLM-powered products in production environments.
• Strong knowledge of data architecture, data modeling, governance, and data quality frameworks.
• Experience with DBT transformation pipelines, testing, and data validation.
• Knowledge of scalable data architectures such as Medallion Architecture, Data Vault 2.0, and dimensional modeling.
• Excellent communication and cross-functional collaboration skills in fast-paced environments.

Preferred Skills

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

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