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Mid LevelFull-timePythonAWSMachine LearningAgileAIMLData
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an AI Data Engineer to join our data and AI teams at TechTorch. This role focuses on designing and building modern data pipelines and AI-ready data platforms using Snowflake as the core warehouse, leveraging Snowflake Cortex AI, AWS Bedrock, and other mainstream AI services.
Key Responsibilities
- →Design, build, and maintain scalable data pipelines using Snowflake as the central data platform
- →Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases
- →Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics
- →Integrate and operationalize AI workflows using AWS Bedrock and related AWS services
- →Build and optimize ELT pipelines using tools such as dbt, SQL, and Python
- →Integrate data from diverse sources including APIs, SaaS platforms, databases, and event streams
- →Ensure data quality, observability, and governance across pipelines and AI workloads
- →Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions
- →Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability
Requirements
- ✓4+ years of experience in data engineering, with strong hands-on Snowflake experience
- ✓Practical experience building AI-enabled data solutions or preparing data for ML/LLM workloads
- ✓Strong proficiency in SQL and Python for data transformation and pipeline development
- ✓Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities
- ✓Hands-on experience with AWS, ideally including AWS Bedrock, Lambda, S3, and IAM
- ✓Experience with ELT tooling such as dbt, Airflow, or similar orchestration frameworks
- ✓Solid understanding of data modeling, data warehousing, and performance optimization
- ✓Comfortable working in cloud-native, enterprise environments with high delivery expectations
- ✓Strong communication skills and ability to collaborate across technical and business teams
