DevSecOps Platform Engineer – Enterprise Analytics Services Position Summary The DevSecOps Platform Engineer enables the Enterprise Analytics Services product squads by designing, securing, automating, and operating the software delivery platform supporting a common code base across cloud-native and customer-managed on-premises
Lead Cloud Architect Reports to: Senior Manager - IT Infrastructure Location: In Office, Orange CT The base salary range for this position is dependent upon experience and location, ranging from: $141,120 - $176,400 What We Offer: Competitive
Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired
As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we
Lead Project Data Engineering Manager Data and Analytics | Data Engineering Rochester, New York, United States Position Summary Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on
Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes
The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an
About Us: Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments.
Mayo Clinic is seeking a Software Engineer to support the design, implementation, and operational support of ServiceNow integrations with our cloud platforms. This role focuses on Configuration Management Database (CMDB) governance, Common Service Data Model (CSDM), Discovery, and
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced DevOps Engineer you will have the ability to share new ideas and collaborate on projects as a
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS220, T4, Band 7 Job-Specific Essential Duties and Responsibilities: - Execute CVE-based patching by severity across client, server, cloud, and on-prem environments. - Develop, test, maintain, and
Key Responsibilities: • Own and improve the reliability, availability, observability, and operational supportability of Maximus UKs Azure Databricks platform, Azure data services, and associated data pipelines and data products. • Design and implement monitoring, alerting, health checks,
Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients success. Youll work alongside talented professionals reimagining and reengineering operations and processes that are critical to
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
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
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