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.
Skills Required
- 7+ years of experience in Software Engineering, Data Engineering, or AI Engineering.
- Strong expertise in Python.
- Strong expertise in SQL.
- Hands-on experience building cloud-native applications on AWS.
- Proven experience with Databricks.
- Proven experience with Apache Spark.
- Proven experience with DBT and building DBT transformation pipelines, testing frameworks, and data validation processes.
- Hands-on experience building and deploying AI or LLM-powered applications in production (including agentic and conversational AI).
- Experience designing and developing APIs, backend services, distributed systems, and scalable workflows.
- Strong knowledge of data architecture: dimensional modeling, Data Vault, Medallion Architecture, data governance, and data quality frameworks.
- Experience with TypeScript.
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or equivalent professional experience.
- Strong communication, collaboration, and problem-solving skills in cross-functional environments.
- 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 and Delta Lake and modern analytics ecosystem.
- Familiarity with CI/CD practices for Data Engineering and AI platforms.
- Experience implementing monitoring, observability, and governance solutions for AI-driven applications.
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
