Technology Usage Data Jobs in Usa

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

Talent Tech Manager

This role reports to the Director, Talent Development, and supports the strategy, design, project management and implementation of enterprise talent management activities. Additionally, the Manager of Talent Technology will manage and optimize the Talent Management System to ensure that functionality supports performance reviews and succession activities. The position partners directly with key stakeholders to implement training programs, leadership development programs, talent reviews and succession planning from implementation to ongoing maintenance. They have a customer service mindset, systems and project management expertise, and an understanding of key talent management principles and approaches.

Key Responsibilities:

• Lead Talent technology systems design, configuration and implementation in collaboration with HR leadership, HRIS, IT and other key stakeholders. This includes:
• Workday Talent Management System
• Systems selected as part of the Company's assessment, development and culture strategies
• Lead Performance Appraisal process system design and project management for the full enterprise, including scheduling key tasks, aggregating performance data and providing data-driven insights to shape organizational development initiatives.
• Consult and provide system and technology guidance for Talent Development and Training initiatives throughout the company
• Partner with the Learning Design and Development Team to resolve complex Learning Management System Issues
• Guide, teach, and train team members to ask the right questions, collect and interpret data, and translate data into recommendations and action which helps to drive root cause analysis and problem solving
• Manage system configuration, settings / modifications, and maintenance according to change management decisions.
• Serves as a support resource for users, providing hands-on direct troubleshooting expertise and guidance.
• Work with HRIS, vendors and IT to design and maintain vendor and internal interfaces and resolve any systems related issues.
• Manage vendor relationships and sourcing process for new technology
• Manage process documentation, audits of systems and identify areas for process improvement relating to the entry and maintenance of HR Data.
• Proactively identify opportunities for system enhancements, manage changes through the full development lifecycle and prepare organizational communications as needed.
• Closely collaborate with HR, business partners, and vendors in examining solution options and in planning and managing multiple systems development, maintenance and enhancement projects.
• Establish an ongoing measurement and continual improvement process to produce, analyze, and report metrics on Talent activities and training completion to the business.

Minimum Requirement:

• Bachelor's degree in business, IT, HR, OD, or similar field.
• Minimum of 6 years' professional experience

Critical Knowledge/Skills

• Workday Talent Management experience required
• Skilled with MS Office
• 6 years of experience in Human Resources and/or Talent Management.
• Vendor relationship and system implementation experience
• Prior experience in managing systems and customer service support to deliver on Talent Management strategies (i.e., talent reviews, succession planning, high potential development, etc.)
• Project management skills / detail orientation
• Communication skills, both verbal and written
• Strong customer service mindset and orientation

Additional Knowledge/Skills

• Strong analytical and problem-solving skills; able to accurately distill complex information and communicate the information in a concise and understandable manner
• Change Management experience
• Experienced at handling sensitive / confidential information and providing measurements of business outcomes
• Workday Learning Management and HRIS system experience preferred

This is a contract, April-October, Monday through Friday 9:00-5:00, in office in Pheonix!

Required Skills & Experience:

• Prior experience with data annotation specifically for video review
• Strong attention to detail and ability to follow instructions
• Comfortable working with video content for extended periods
• Basic computer skills and ability to learn new tools quickly

Nice to Have Skills & Experience

• Prior experience with Annotation Tools
• Background in User Research

Job Description

Hiring detail‐oriented Data Annotators on-site in Phoenix AZ to review and annotate video content for research and data analysis projects.

Overview: In this role, you will accurately label and categorize video footage while ensuring high quality, consistency, and confidentiality.

Key Responsibilities

• Review and analyze video recordings to identify, label, and annotate specific actions, objects, behaviors, or events according to project guidelines
• Accurately tag and categorize video data using internal annotation tools and platforms
• Ensure consistency, precision, and completeness of annotations across all assigned content
• Identify errors, missing data, or inconsistencies and document findings as needed
• Collaborate with project leads to resolve annotation questions or discrepancies
• Maintain strict confidentiality and handle sensitive data in compliance with privacy and security requirements
• Meet productivity and quality benchmarks while managing multiple annotation tasks

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.

Key Responsibilities:

Client & Stakeholder Engagement

• Serve as the primary analytics point of contact for clients
• Present performance reports, dashboards, and model insights
• Translate complex statistical results into clear business recommendations
• Participate in strategy calls

Data Analysis & Reporting

• Analyze large datasets to identify trends, risks, and opportunities
• Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
• Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
• Segment performance by channel, risk tier, geography, or campaign
• Perform root cause analysis on performance shifts

Modeling & Optimization Support

• Work alongside data scientists to interpret model outputs
• Conduct A/B testing and performance experiments
• Identify segments with low performance and recommend optimization strategies
• Validate model deployment performance in production environments

Cross-Functional Collaboration

• Coordinate with underwriting, marketing, risk, and engineering teams
• Assist in translating business requirements into analytical frameworks
• Support compliance and reporting needs where applicable

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
• field
• 2–5+ years of experience in data analytics, preferably in fintech or lending
• Strong proficiency in SQL
• Experience with R or Python
• Experience with BI tools (Tableau, Looker, etc.)
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical audiences

Preferred Qualifications

• Experience with underwriting analytics or credit risk modeling
• Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
• Knowledge of fraud detection metrics
• Experience working in a client-facing or consulting environment

Core Competencies

• Strong analytical thinking
• Business acumen
• Executive-level communication
• Detail-oriented but able to see big picture
• Proactive problem-solving mindset

We are seeking an experienced Data Lakehouse Manager to lead our enterprise data engineering practice and oversee the design, modernization, and operational excellence of our Snowflake-based Lakehouse platform on Azure.

This role combines hands-on technical leadership with people management, ensuring scalable, reliable data pipelines that power analytics and business intelligence across the organization.

The ideal candidate brings deep expertise in cloud data platforms, strong architectural capabilities, and a passion for mentoring teams while driving high-impact data solutions that support strategic business decisions.

Mesa, AZ (Onsite – Local Only)

6–12 Month Contract

$90–$100/hr

Video Interviews → Final Onsite

We’re looking for an experienced Technical Program Manager to lead ground‑up and brownfield data center construction for a major enterprise client. This is a hands-on, field‑driven role owning delivery from site prep to commissioning and turnover.

• Lead multi‑phase data center construction projects end‑to‑end
• Drive scheduling, budgeting, risks, and change control
• Manage daily onsite coordination with GCs, trades, cabling + security vendors
• Oversee rack/stack, structured cabling, power/cooling readiness, and equipment logistics
• Support Level 1–5 commissioning and ensure QA/QC across all trades
• Ensure safety, compliance, security systems deployment, and documentation
• Provide clear status updates, dashboards, and executive communication

• 5+ years data center construction or large‑scale infrastructure delivery
• Strong experience across MEP, cabling, security systems, and commissioning
• Proven success taking projects from pre‑con through operations handoff
• Excellent onsite leadership, vendor management, and communication skills
• Bachelor’s in Engineering, Construction Management, or equivalent experience

• Hyperscale/cloud data center experience
• Commissioning/IST and Tier‑level reliability experience
• Familiarity with PM tools (Smartsheet, Primavera, MS Project, etc.)
• Experience in prototype or fast‑changing environments

P&C Insurance Data Scientist opening in Atlanta.

Collaborate with data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; partner with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.

Ideal candidate has 2+ years of Data Science/Predictive Modeling experience, including extensive background in Python, SQL, and Git; knowledge of P&C insurance a plus.

(PR13082A)

Senior P&C Insurance Data Scientist opening in Atlanta.

Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.

Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git.

(PR13082)

SERVICE DESK ENGINEER (WA/OR/ID)

CANDIDATES MUST BE LOCAL TO THE SERVICE AREA AND BE LEGALLY AUTHORIZED TO WORK IN THE UNITED STATES ON A FULL-TIME BASIS – INTERNATIONAL CANDIDATES NEED NOT APPLY

Since 1993, Right! Systems, Inc. (RSI) has been providing exceptional solutions and uncommon expertise to help our customers achieve lasting benefits. As a multi-vendor systems integrator, we maintain high-level certifications with key technology partners for one reason: our customers.

We are seeking a talented individual for the role of Service Desk Engineer. This is a full time position. Candidates must live in the service area and report to one of our corporate office locations as needed to perform job duties. This role reports to the Service Desk Manager.

You will be working on a team of highly skilled technicians and engineers across a wide range of disciplines, representing solutions from Cisco, Juniper, HPE, Aruba, Palo Alto, Fortinet, and more. Your role is to ensure that industry best practices and methodologies are applied to the deployment, integration, and operational support of our customer environments. This is a great opportunity to build your IT career while working on exciting technologies and environments.

Work schedule is typically Monday through Friday from 8am to 5pm in-office or onsite with rotational on-call scheduling for work after-hours and on weekends.

Duties/Responsibilities

• Build and maintain deep technical expertise across datacenter technologies including virtualization, Windows Server, storage, backup/DR, datacenter networking, and identity/core services (AD/DNS/DHCP).
• Resolve complex, multi-layer support incidents involving availability, performance, recoverability, and security across compute, storage, virtualization, and infrastructure services in a multi-customer MSP environment. Work from RSI offices to diagnose and resolve both emergency and chronic problems related to availability, security, performance, connectivity, and overall functionality.
• Partner with Service Desk, Network, Security, and Projects teams to deliver customer outcomes and improve service maturity through standardization, documentation, and automation.
• Attend or participate in various product training sessions and classes in order to broaden your skillset while maintaining RSI’s vendor relationships
• Meet with customers to discuss and outline new approaches and configurations that improve and enhance their current environments
• Other work-related duties as assigned

Qualifications/Requirements

1-3 years of equivalent technology experience

Able to demonstrate associate level expertise or equivalent certification level in one or more of the following areas:

• Datacenter / Virtualization
• VMware vSphere/ESXi/vCenter (preferred) and/or Hyper-V
• Compute platforms such as Cisco UCS and/or HPE
• Windows Server / Core Services
• Active Directory, DNS, DHCP, Group Policy
• General Windows Server administration and troubleshooting
• Storage / Backup / DR
• SAN/NAS concepts (iSCSI, snapshots, replication)
• Backup systems and restore validation / DR testing
• Cloud
• Azure / Entra ID integration, hybrid identity, M365 dependencies
• Hands-on experience supporting solutions from some of the listed vendors above
• Experience administering phone systems (Cisco, etc.) preferred
• Contact Center administration experience preferred
• Strong interpersonal, written, and oral communication skills
• Strong analytical and problem-solving skills
• Strong customer service orientation
• Candidate must be able to conduct research into issues and problems
• Candidate must be able to present ideas in user-friendly language
• Candidate must be highly self-motivated and self-sufficient
• Candidate must be able to effectively prioritize tasks in a high-pressure environment
• Candidate would either need to have a valid Driver’s license and vehicle insurance, or confirm their ability and means to report to the office daily on work days as scheduled, as an essential job function for this role.

Compensation/Benefits

Compensation $70-90k Annually DOE

RSI offers competitive salary, comprehensive benefits package that includes group medical, dental and vision insurance, 401(k), life insurance/LTD, and PTO (Paid Time Off) for vacation, sick and personal leave needs.

Right! Systems provides equal employment opportunity to all employees and applicants for employment without regard to race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related conditions, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.

Job Title: Safety / Red Teaming Data Labeling Analyst III (DLA III)

Company: Meta AI (via Tundra Technical Solutions)

Location: Hybrid – 3 days onsite per week

Pay Rate: $30/hr USD

Experience Required: 4+ years

Contract: 3 months to start (Extension likely)

About the Role

Tundra Technical Solutions is hiring on behalf of Meta AI for a Safety / Red Teaming Data Labeling Analyst III (DLA III) to support AI model development and evaluation. This role is focused on improving model safety, quality, and reliability through data annotation, auditing, and adversarial testing.

You’ll work closely with cross-functional teams to evaluate model outputs, identify risks, and help strengthen safety systems through structured red-teaming efforts.

Key Responsibilities

• Execute high-quality data annotation and evaluation across multi-modal datasets
• Perform QA auditing, including sampling, inter-annotator alignment, and error analysis
• Design and run red-teaming / jailbreak prompts to test model safety across sensitive domains
• Analyze model outputs to identify policy violations, risks, and edge cases
• Apply knowledge of global political systems, events, and actors to inform content evaluation and policy enforcement
• Collaborate with stakeholders to improve labeling guidelines and model performance

Required Qualifications

• 4+ years of experience in data annotation, labeling, or evaluation
• Proven experience with QA auditing methodologies (sampling, alignment, error analysis)
• Hands-on experience with safety-focused red-teaming or adversarial testing
• Strong understanding of US and global political landscapes and current events
• Ability to apply policy frameworks to risk identification and content evaluation

Preferred Qualifications

• Experience working with LLMs (Large Language Models)
• Bachelor’s degree (preferred, not required)

Why Apply?

• Work at the forefront of AI safety and model evaluation
• Opportunity to contribute to large-scale AI systems at Meta AI
• Collaborative, fast-paced, and impactful environment

How to Apply

If you’re interested, please apply directly or share your resume and availability for a screening call at