Data Engineer
The Data Engineer will architect the data foundations that power large language models (LLMs) and autonomous agents for Fortune 500 partners. The role focuses on building scalable Generative AI architectures within the AWS ecosystem.
- Remote
- Toronto, Ontario, Canada
- Posted May 12, 2026
- Apply by Nov 8, 2026
- 1 position
Job summary
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners. Requirements Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs) DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
What you’ll do
The Data Engineer will architect the data foundations that power large language models (LLMs) and autonomous agents for Fortune 500 partners. The role focuses on building scalable Generative AI architectures within the AWS ecosystem.
Requirements
Candidates should have 8-12 years of experience in Data Engineering with a strong emphasis on the AWS Cloud stack. Proficiency in AI/ML tools and advanced skills in SQL, Python, and PySpark are also required.
Benefits
• Significant Career Development Opportunities
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- AWS
- Glue
- Athena
- EMR
- Redshift
- LangChain
- LlamaIndex
- DevOps
- IAC
- AWS CDK
- Terraform
- SQL
- Python
- PySpark
Job areas
- Technology
- Data & Analytics
- Consulting
- Software
Additional details
- Minimum experience
- 10+ years
- Apply by
- Nov 8, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Mid-Senior level