5 snowflake data engineer jobs at 4 companies in Lowell, AR
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
LennarNYSE: LEN: Builds and sells quality residential homes across the United States.
8+ YOE8+ years in data architecture, modeling, ETL/ELT, cloud data platforms, and analytics; strong SQL/Python; AWS & Snowflake expertise; dbt; data governance; leadership of data engineering teams.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
2+ YOEMinimum 2 years' data engineering experience; Bachelor’s/Master’s degree or equivalent software engineering experience options. Proficiency with SQL and programming (Python or Java); experience with cloud data platforms (Snowflake, Microsoft Azure), ETL, data modeling, and governance.
Logistics Data Engineer (Springdale, AR Terminal Office)
Springdale, Arkansas, United States
OnsiteFull Time
Tyson FoodsNYSE: TSN: Produces and distributes meat products and prepared foods globally.
1+ YOEBachelor's or master’s in a related field (or 4 years' experience), 1+ years relevant experience, strong SQL, data visualization and ETL skills, knowledge of data warehousing, pipeline orchestration, and cloud/data governance.
Logistics Data Engineer (Springdale, AR Terminal Office)
Springdale, Arkansas, United States
OnsiteFull Time
Tyson FoodsNYSE: TSN: Processes and markets chicken, beef, pork, and prepared foods.
1+ YOEBachelor's degree in related field (or equivalent experience), 1+ years relevant experience, proficiency in SQL, data visualization, ETL and data pipeline orchestration, knowledge of data warehousing and governance, strong communication and critical thinking.