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Databricks Data Jobs In Buffalo, New York - 9 Job Positions Available

1 – 7 of 9 jobs
Univera Healthcare jobs

Manager of Data Platform Administration The Manager of Data Platform Administration plans, directs, and evaluates the work of Data Platform Administration team in the planning, design, development and maintenance of new and existing applications and data systems. This position communicates

Sponsored by Univera Healthcare  23 days ago
M&T Bank jobs

Head Of Data Engineering The Head Of Enterprise Data Engineering is responsible for defining and executing the Banks enterprise data engineering vision, strategy, and architecture. This executive leader oversees the end-to-end data ecosystem, ensuring scalable, secure, and regulatory-compliant data capabilities that

Sponsored by M&T Bank  9 days ago
Moog Inc. jobs

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with

Moog Inc.  16 days ago

Consultant LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of

Sponsored by Latentview Analytics  29 days ago
Richs jobs

Manager, AI Solutions Location: Buffalo, NY, US, 14213 Segment: Information Technology & Systems Richs, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers

Sponsored by Richs  2 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,

MAXIMUS  20 days ago
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MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,

MAXIMUS  20 days ago

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