5 cloud data engineer jobs at 2 companies in Logan, UT
🚀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.
Illumination Works: Technology consulting firm specializing in data and AI solutions.
7+ YOE7+ years in data architecture, Bachelor’s in CS/Engineering, US citizenship and ability to obtain Secret clearance, expertise in data modeling, integration, governance, SQL and Python/Java, cloud platforms (AWS/Azure/GovCloud), containerization, and DevSecOps/CI/CD.
Northrop GrummanNYSE: NOC: Designs and manufactures advanced aerospace and defense systems.
3+ YOEU.S. citizen able to obtain DoD Secret clearance; Bachelor's or advanced degree in STEM; 3+ years (Data Scientist) to 5+ years (Principal) experience; 2+ years cloud/data engineering; Python and SQL experience; predictive modeling and ML experience.
Northrop GrummanNYSE: NOC: Designs and manufactures advanced aerospace and defense systems.
3+ YOEActive U.S. DoD Secret clearance required; 5 years' experience with a bachelor’s (3 years with master's) or equivalent; strong SQL, Python, ETL, SQL DB management, Git, Tableau, and data engineering experience; strong communication skills.
SQL, Python, Git, Tableau Server, Tableau, IBM Rational DOORS, DXL, Teamwork Cloud Cameo, AWS, Azure, Google Cloud, Agile, Scrum
Exiger: AI-powered supply chain risk and compliance management software.
5+ YOEBachelor's degree in CS or related field, 5+ years in data engineering or applied AI/ML, active Top Secret clearance with SCI eligibility, proficiency in Python and SQL, experience with cloud data platforms (AWS, Snowflake, Redshift).
Exiger: AI-powered supply chain risk and compliance management software.
5+ YOEBachelor's/Master's in CS or related, 5+ years in data engineering or applied AI/ML, active TS/SCI clearance, deep Python and SQL skills, cloud experience (AWS, Snowflake, Redshift), and experience operationalizing ML in production.