Senior Data Engineer + AI
Reads like a ML Engineer role: putting models into production.
Bolivia; Colombia; Costa Rica; Peru
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and maintain AI-powered apps, backend services, and cloud data platforms
Build and optimize end-to-end data pipelines with Databricks, Spark, and DBT
Develop production LLM and agentic AI solutions and API-driven services
Drive technical decisions and engineering best practices with cross-functional teams
From the employer’s posting
Design, develop, and maintain AI-powered applications, scalable backend services, and cloud-native data platforms
Build and optimize end-to-end data pipelines using Databricks, Apache Spark, DBT
Develop production-ready AI and LLM-powered solutions, including agentic AI systems, conversational AI, and API-driven services
Collaborate with cross-functional teams to drive technical decisions, improve engineering best practices
What you’ll bring
All qualificationsCore experience
- 7+ years in software, data, or AI engineering
- Strong Python and SQL
- Hands-on AWS cloud-native application experience
- Proven experience with Databricks and Apache Spark
- Built and deployed AI or LLM-powered applications in production
Qualification wording
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.
Hands-on experience building and deploying AI or LLM-powered applications in production.
Education & alternatives
· 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:
Tools in this posting
- Python
- SQL
- TypeScript
- AWS
- Databricks
- dbt
- Delta Lake
- Fivetran
- Spark
Source — Tool mentions in context
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.
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.
· 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.
· 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.
Preferred Skills: · Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks. · Knowledge of conversational AI, agent-based systems, and AI platform development.
· 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.
· 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.
· 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.
· 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.
Posting record
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- First seen by us
- Aug 5, 2026 · 77 days ago
- Recorded sightings
- 202
- Last seen by us
- Oct 21, 2026
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Job 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.
Source details
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- Pay
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- Location & working pattern
Bolivia; Colombia; Costa Rica; Peru
Location: Costa Rica, Peru, Colombia, Bolivia. Mode: Remote. We at Coforge are hiring Senior Data Engineer + AI (#22552) with the following skill set.
- Work authorization
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