Senior Data Engineer + AI
Encora Bolivia
IT Services and IT Consulting · 5,001-10,000 employees
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
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.
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