Senior Data Engineer
Job Summary
As a key pillar of the AI team, the full-time Senior Data Engineer will design and maintain high-performance data systems, transforming raw data into scalable organizational intelligence in a hybrid work environment.
Key Responsibilities:
- Lead the design and maintenance of scalable data architecture, implementing best practices in sharding, replication, and indexing
- Build and manage production-ready AI pipelines that integrate disparate data sources into Snowflake
- Craft intuitive tools and frameworks that empower data scientists and analysts, ensuring alignment with business objectives
Required Qualifications:
- Proficiency in Python and SQL with over 5 years of experience in AI and machine learning
- Expertise in AWS ecosystem and Snowflake, with a strong understanding of data modeling and governance
- Experience in building scalable solutions for complex data environments
- Familiarity with modern SDLC practices for AI projects
- Strong collaborative skills and ability to work independently with minimal supervision
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 45,346 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
BBB URL BBB URL
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
