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Senior Data & AI Engineer

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Before you apply
LocationLatin America, Costa Rica
Work moderemote
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentCSA Billable
Company size10,000+ people
PostedOct 12, 2026 · 3w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
SQL
AWS
Databricks
Apache Spark
DBT
TypeScript
AWS Bedrock
AgentCore
Strands
Fivetran
Delta Lake
About the role
Job Title: Senior Data & AI Engineer
Requirements
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.
Posted On: 12-10-2026
Legal
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.