TechTorch

AI Data Engineer

TechTorch

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AirflowAWSCloudPythonSQL

About the role

  • 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 (e.g., Lambda, Step Functions)
  • 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
Benefits
  • Opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock
  • High-impact role at the intersection of data engineering and applied AI
  • Exposure to private equity-backed enterprise transformation programs
  • Global, collaborative team with strong technical standards
  • Flexible, remote-first working environment with autonomy and ownership
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringSnowflakeAI-ready data modelsfeature layersSQLPythonELT pipelinesdata modelingdata warehousingperformance optimization
Soft Skills
strong communication skillscollaborationability to translate use caseslong-term maintainability