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Senior Data Engineer + AI

Reads like a ML Engineer role: putting models into production.

Bolivia; Colombia; Costa Rica; Peru

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • Design 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 qualifications

Core 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.

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First seen by us
Aug 5, 2026 · 77 days ago
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Last seen by us
Oct 21, 2026

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Job description

View original posting ↗

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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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.
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