3 aws data engineer jobs at 3 companies in Columbia, MO

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
HiringCafe
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.
Node.js, Python, Elasticsearch, Redis
2w
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Data Engineering & Operations Specialist
Columbia, Missouri, United States
$102k-$126k/yr OnsiteFull Time
Shelter Insurance
Shelter Insurance: Provides auto, home, and life insurance coverage to individuals.
4+ YOE4+ years data engineering experience, expertise in Snowflake, data integration tools (Qlik Replicate, Compose, DBTLabs, Astronomer), SQL and scripting (Python, PowerShell); bachelor's or master's preferred.
Snowflake, Qlik Replicate, Compose, DBTLabs, Astronomer, Github, AWS, Azure, SQL, Python, PowerShell
3w
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Senior Director, Data Technology
Columbia or North America or Europe
OnsiteFull Time
CARFAX
CARFAXNYSE: SPGI: Provides vehicle history reports and used car marketplace services.
12+ YOE12+ years leading data or software engineering organizations, proven enterprise data platform and cloud transformation experience, deep AWS expertise, experience with AI/advanced analytics, and partnering with product and executive stakeholders.
AWS
1w
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Senior Software Engineer Applied AI
Jefferson City, Missouri, United States
RemoteFull Time
AMC Health
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python, cloud distributed systems experience, hands-on LLM/generative AI and ML lifecycle experience, disciplined data handling in regulated environments.
Python, AWS, LLMs, vector search, embeddings