Data Jobs in US

[Industry: Telecommunications | Type: Full-time | Level: Mid-Senior level] Job DescriptionJob Title:Data Center Technician IReports To:Data Center SupervisorJob Summary:The Data Center Technician will support both the Physical and Virtual Infrastruc

[Industry: Telecommunications | Type: Full-time | Level: Entry level] Job DescriptionJob Title:Data Center Technician IReports ToData Center SupervisorJob SummaryThe Data Center Technician will support both the Physical and Virtual Infrastructure of

[Applicants: Be among the first 25 applicants | Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] Abile Group has an exciting and challenging opportunity for a Data Center Engineer (Storage) supporting a DoD Custom

[Applicants: Be among the first 25 applicants | Industry: Financial Services, Investment Management, and Banking | Type: Full-time | Level: Director] About This RoleWells Fargo is seeking a Data Architect Technology Director in technology as part of

[Applicants: Be among the first 25 applicants | Industry: Business Consulting and Services | Type: Full-time | Level: Mid-Senior level] CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful b

We are hiring for Senior Data Analyst / Data Architect, if you feel this job interesting kindly share your updated resume to dhana@reveilletechnologies.com Position – Senior Data Analyst / Data Architect Location – Looking for Candidate in East cost Insurance Background Must Data Integration & Middleware Architect who combines strong data analysis and data mapping expertise with the ability to design scalable middleware and integration architectures. Data Analysis & Data Mapping Analyze source system data structures and business rules across multiple platforms Design logical and physical data models, including canonical data models where appropriate Create and maintain source-to-target data mapping specifications Define data transformation rules, validations, defaults, and lookup logic Perform data profiling and quality analysis to identify gaps, anomalies, and inconsistencies Ensure data lineage, traceability, and auditability across integrations Middleware & Integration Architecture Design middleware-based integration solutions (API-led, event-driven, batch, or hybrid) Define integration patterns (synchronous/asynchronous, pub-sub, request/response) Design APIs, message schemas, and versioning strategies Establish error handling, retry, logging, and monitoring standards Ensure integrations meet performance, scalability, and security requirements Collaborate with engineering teams to ensure designs are implemented correctly Architecture & Documentation Produce clear architecture artifacts (data flow diagrams, integration diagrams, sequence flows) Document integration standards, data contracts, and mapping logic Participate in design reviews and provide architectural guidance Evaluate tradeoffs between simplicity, scalability, and long-term maintainability Collaboration & Stakeholder Engagement Partner with business stakeholders to clarify requirements and resolve data definition conflicts Translate business rules into technical specifications engineers can implement Facilitate data mapping and integration design workshops Act as a bridge between business, da...

Job Description At Regions, the Data and Analytics Analyst transforms data into a meaningful format for operational and/or decision-making purposes. Focusing on day-to-day deliverables, this role works with managers to gather and interpret data for leaders to make data-driven decisions.

As the Associate Data Engineer, you will work closely with our Information Services team to rotate through (3) areas of our Data Group: Data Engineering, Data Visualization, and Data Science and Modeling. You will also gain experience working with our offshore development team.

Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT. Interpret and analyze data from multiple sources including claims, provider, member, and encounters data.