Databricks Developer Jobs in Raleigh, NC

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AWS Databricks Architect

Chabez Tech LLC

Remote

Contract

Position: AWS Databricks Architect Location: Remote Job Description: We are seeking a highly experienced AWS Databricks Architect to lead the architecture and design of scalable data solutions within the AWS cloud ecosystem for ThermoFisher. The ideal candidate will bring deep expertise in cloud-native data processing, analytics, and architecture, along with strong leadership capabilities to drive large-scale projects. Responsibilities:Design and implement end-to-end cloud data architectures us

Databricks Architect

P2PSoftTek Inc

Remote

Contract

Looking for 15 plus years of overall experience Need Financial Domain Experience Responsibilities Design, implement, and deploy data platforms at scale in both public and private clouds Guide clients in establishing their data strategy, including data governance, data architecture, and data quality management Educate clients on modern technologies, architectures, and approaches for data & analytics Drive discovery phases, understand business problems, and propose technical solutions to address t

Engineer, Big Data - Databricks/Python/SQL/Power BI - Remote

Molina Healthcare

Remote or Long Beach, California, USA

Full-time

Job Description Job Description Job Summary Responsible for collecting, storing, processing, and analyzing large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. He/she will also be responsible to follow architecture and best practices used across the enterprise. Knowledge/Skills/Abilities Define ideal Architecture, Evaluating tools and Frameworks, Standards & Best Practices for implementing sc

MLOps Architect (Databricks Specialist)

Amiseq Inc.

Remote

Contract

Job Description: * 12+ years in IT experience with a minimum 10+ Years of experience in data engineering, data platform, and analytics. * Projects delivered with hands-on experience in development on Databricks. * Working knowledge of any one cloud platform (AWS, Azure, or Google Cloud Platform). * Deep experience with distributed computing with Spark, including knowledge of Spark runtime internals. * Familiarity with CI/CD for production deployments. * Working knowledge of MLOps. * Current know