Jobs at Intel

***Position is 100% Remote within EST states - some travel quarterly for meetings and milestones***

**Candidates MUST reside in the Eastern Time Zone. 

Scope of the project:
Due to the volume of agency financial and administrative systems that need to be migrated to agency standard platforms, upgrade and streamline upgrade aged components, and modernization efforts, additional staff is needed to support these efforts and system implementation.

• The team will work to align business needs with current and future state to ensure systems are set up and supported following industry best practices to ensure strategic initiatives and compliance with federal and state regulatory laws and ensure business continuity.
• This position will be a part of the team responsible for supporting these efforts and transition to operational support.
• Candidates should be self-motivated, team-oriented, work under limited supervision, and respond to priority tasks as needed.

Daily Duties / Responsibilities:

The SAP HR Systems Technician plays a vital role in configuring, maintaining, and enhancing the Agency systems, with a primary focus on the SCEIS SAP ECC platform and other agency HR-related systems. This position is responsible for implementing system configuration changes, optimizing workflows, improving data quality, and supporting reporting needs based on technical capabilities and business requirements.

Working closely with HR, IT, and Finance teams, the technician ensures that system functionality aligns with operational goals and compliance standards. The role involves hands-on configuration, testing, documentation, and support of SAP HR modules, as well as identifying and implementing workflow- driven solutions to reduce manual processes and improve data integrity.

With a strong emphasis on technical problem-solving, system optimization, and data-driven reporting, this position is essential to the successful modernization and efficiency of HR operations.

Key Responsibilities

• System Configuration & Workflow Optimization
• Configure and maintain SAP ECC HR modules within the SCEIS platform to support evolving business needs.
• Recommend and implement workflow-driven solutions to reduce manual data entry and streamline HR processes.
• Identify system capabilities and limitations to propose creative, system-based solutions for HR modernization.
• Collaborate with HR and IT to design position-based access controls and ensure appropriate data access across roles.
• Maintain system protocols and configuration documentation to support change management and audit readiness.

Testing & Implementation

• Execute unit, integration, and user acceptance testing (UAT) for system changes, enhancements, and patches.
• Support production rollouts and ensure minimal disruption to HR operations.
• Troubleshoot and resolve system issues, escalating complex problems as needed.

Data Quality & Reporting

• Monitor and improve data accuracy and integrity across HR systems.
• Develop and maintain reports and dashboards using SAP tools, Excel, and Power BI.
• Compare data across systems to identify inconsistencies and recommend corrective actions.
• Support audit and compliance reporting requirements.

Documentation & Support

• Create and maintain technical documentation, including configuration records, SOPs, and user guides.
• Provide technical support to HR users and assist with training on new system features or workflows.
• Update SharePoint and other collaboration tools with relevant system documentation and resources.

Collaboration & Communication

• Work closely with HR, IT, and Finance departments to align system functionality with business needs.
• Participate in cross-functional meetings to gather requirements and provide technical input on system capabilities.
• Assist with the development of policies and procedures related to system security and data classification in alignment with NIST 800-53, FISMA, and SC InfoSec standards.

Project & Change Support

• Contribute to HR system modernization projects by implementing technical solutions and supporting project deliverables.
• Create and manage work requests in the ticketing system (e.g., DevOps) to track system changes and enhancements.
• Support risk mitigation strategies and ensure compliance with IT security and development standards.
• Assist with development of policies and procedures to conform and comply with agency standard cyber security policy design related to information risk management, designation of data as to criticality, confidentiality, and protection. (NIST 800-53, FISMA, SC InfoSec Requirements (url removed), etc.)

The position will be utilized for 40 hours per week for the duration of this project. The selected candidate should be able to work flexible hours where it may be necessary for work to be completed outside traditional business hours.

The candidate will work closely with the Assigned Manager to identify, prioritize, and schedule workload and implementation to IT standards and procedures. The candidate will work closely with Human Resource staff, OIT, and subject matter experts for the system design and testing.
 
This will also include compliance to Agency security policy/procedures as well as integrating systems when possible to streamline staff workflows, user security, and data correction.
 

Required Skills (rank in order of IMPORTANCE):

• 3+ Years of Experience with SAP ECC (SCEIS) HR modules, including system configuration, testing, and troubleshooting to optimize SAP HR system workflows to support automation and reduce manual processes.
• 3+ Years of Experience with State HR/Payroll processes, data privacy standards (e.g., HIPAA, FLSA), and regulatory compliance frameworks.
• 3+ Years of Experience in data validation, integrity monitoring, and issue resolution across HR systems.
• 3+ Years of Experience in Advanced reporting and dashboard development using SAP tools, Excel, and Power BI.
• 3+ Years of Experience in Microsoft Office products (Word, Excel, PowerPoint, Visio) and collaborative tools (SharePoint, OneDrive, Teams).
• 3+ Years of Experience with role- based access control (RBAC) and position-driven system access configuration.

Preferred Skills (rank in order of Importance):

• Familiarity with IT security standards and compliance frameworks, including NIST 800-53, FISMA, and SC infosec policies.
• Experience with IT Implementation Projects

Additional Skills

• Written and verbal communication skills
• Proficient in creating and maintaining technical documentation, including configuration records, SOPs, and user guides
• Strong problem-solving and troubleshooting skills, with the ability to identify root causes and implement sustainable solutions.

REQUIRED EDUCATION:

• Bachelor’s degree in a relevant field of work or equivalent work experience

Job Description

Visa Consulting and Analytics VCA, the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk, money movement and digital consulting, with decades of experience in the payments industry.

As Artificial Intelligence becomes foundational to business transformation, VCA is establishing and scaling a dedicated AI Practice to guide clients on their journey toward AI first organizations.

The Senior Director Artificial Intelligence Practice will serve as the VCA North America leader for AI advisory and transformation agenda. This role is responsible for defining the vision, strategy and operating plan for the practice, shaping and selling complex AI transformation engagements, building reusable frameworks and assets, and serving as a trusted advisor to C level executives at Visa’s most strategic clients.

You will work closely with a multidisciplinary team across strategy, data science, engineering and product, while collaborating closely with Visa’s product, technology and global teams. This Senior Director will scale Visa’s AI consulting capabilities and help our clients become AI first enterprises.

This is a highly visible market facing role driving innovation, commercial growth and client impact.

Specific responsibilities include:

Practice Leadership and Strategy

• Define and execute the VCA North America strategy for the AI Practice, including offerings, go to market motions and commercial growth targets.
• Own practice level financials, including revenue, pipeline development, profitability and operating model design.
• Build scalable methodologies, frameworks, playbooks and accelerators for enterprise AI transformation.
• Represent Visa in the market through thought leadership, conference speaking and industry engagement.

Client Advisory and Delivery

• Lead end to end AI consulting engagements, from opportunity identification through strategic road mapping, design and execution.
• Conduct AI maturity assessments, define AI first operating models and develop organizational enablement and change frameworks.
• Partner with clients to design and implement secure, scalable enterprise architectures, including LLM, RAG, MLOps and LLMOps, and AI governance structures.

Commercial Growth and Solution Development

• Shape, price and support the sale of large scale AI transformation programs.
• Build client facing AI solutions and advisory offerings that help clients grow revenue, optimize operations and monetize their data assets.
• Collaborate with internal teams Product, Technology, Risk, Data Science and external vendors to create integrated AI solutions.
• Drive development of reusable assets, market points of view and intellectual property.

Team Leadership and Talent Development

• Lead, mentor and grow a cross functional team of consultants, strategists, data scientists and technologists.
• Foster a culture of innovation, experimentation and continuous learning.
• Support recruitment efforts to scale the AI Practice.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Title: Java Developer
Duration: 12+ Months (Long Term)
Location: Dallas, TX OR Atlanta, GA Onsite role

HackerRank Test & In-person interview is required.

Required skills (Hands-on Required):
Strong Core Java, Spring boot, Microservices, Kubernetes, Kafka, NoSQL

Job Description:

• Web application experience using Core Java, Spring, Spring MVC, Spring Webflux and Rest
• Experience with technologies such as Docker and Kubernetes
• Really strong in Kafka
• Microservices Architecture

Title: AEM Developer
Duration: 12+ Months contract
Location: Frisco, TX OR Atlanta, GA OR Kansas City, MO OR Virginia (Any 1 location, Onsite)

Job Description:
Technical Skill Requirements:

Adobe Experience Manager/ AEM , JavaScript and NodeJS

Roles & Responsibilities:

Work closely with business, application teams, infrastructure areas to identify , review and evaluate the requirements
Work with Business Analyst to convert user stories to software solutions.
Design, Develop, Validate, Deploy and Support implemented requirements.
Develop reusable templates, custom components using AEM (Touch-UI).
Write well designed efficient code following guidelines and design patterns with Adobe recommended and industry proven and secure web programming best practices

Title: Mulesoft API Developer
Duration: 12+ Months (Long Term)
Location: Plano, TX Onsite role

In-Person interview is required

Job Description:
Experience on MuleSoft Gateway, proxy, policies both out of the box and any custom policies
Experience in Building custom policies in Mule API Gateway

Our Digital Integration Layer team is looking for a Senior MuleSoft Developer who is passionate about building API 's and has analytical and multi-task abilities to thrive in a fast-paced environment. The Senior MuleSoft Developer is responsible for designing and developing API's with the MuleSoft Anypoint Platform, by following the industry best practices for Microservices development with a Domain Driven approach. The candidate should have an intimate knowledge of the various MuleSoft tools with Cloud experience and the ability to apply that knowledge to the current state of the business and technology and implement the plan to achieve the desired future state.

Responsibilities and Day-to-Day View

• RTF Deployment experience

8+ years of hands-on experience with and Management with Excellent knowledge of SOA, ESB concepts.
Hands-on experience with RTF.

Deep understanding of REST, HTTP, MQ, JSON, XML and SOA Design and develop enterprise services using RAML in , REST based , SOAP Web Services and use of different connectors.
Strong understanding and experience with security implementations (e.g. SSL/mutual SSL, SAML, oAuth).
Strong understanding and experience with 4 & Dataweave Language
Ability to interface with clients, technology partners, testing, architecture and analysis groups.
Deep experience with Any point Platform, Flow Design, Design. Data weave, Cloud Hub, Runtime Fabric, Management Knowledge of Jenkins / CICD Process

Required Qualifications Mule 4 DW 2.0 Jenkins GIT JMeter Anypoint Platform/API Manager Nexus Munit RAML
Preferred Qualifications Master's Degree in Computer Science, Information Systems or related field Experience in a retail or consumer organization

Client is looking for: coding thought process, attitude, someone who takes initiative and isn't complacent/go getter mentality, someone who cares to leave the code/testing in a good place for others who come in and need to understand it

Jr and Mid level candidates must be local to Dallas for mentorship and potentially more occasional onsite than 3 times per year as needed


Role: UI Developer
Location: Remote (requires onsite 3 times per year for up to 1 week at a time)
Duration: 1 year open-ended Contract (no contract maximum)

Requirements:

• Core Javascript
• React (highly preferred)
• CSS (very important to be strong in this area)
• SASS
• Testing (Jest and other testing frameworks, any testing experience will be fine, very important to be strong in this area if they are Mid or Sr level)
• Cypress (nice to have)
• Typescript (highly preferred, could get up to speed quickly by the SWA team)
• Computer Science degree or similar (highly preferred)

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Intelligence - Sr. Data Engineer.
Location: Columbia, MD(Hybrid).

 
Description:
Purpose:

• The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance.
• This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.

Essential Functions:

• 20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using multiple technologies.
• 15% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
• 15% Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery.
• 15% Creates data collection frameworks for structured and unstructured data.
• 15% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• 10% Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
• 10% Applies and implements best practices for data auditing, scalability, reliability and application performance.

Qualifications:

• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
• The requirements listed below are representative of the knowledge, skill, and/or ability required.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Preferred Qualifications:

• Knowledge, Skills and Abilities (KSAs).
• Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python)., Expert.
• Knowledge and understanding of database design and implementation concepts., Expert.
• Knowledge and understanding of data exchange formats., Expert.
• Knowledge and understanding of data movement concepts., Expert.
• Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert.
• Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Advanced.

Nice to have:

• Oracle database experience and DBA skills a plus.

Education Level:

• Bachelor's Degree.

Education Details:

• Computer Science, Information Technology or Engineering or related field.

Experience:

• 5 years’ Experience with database design and developing modeling tools. Experience developing and updating ETL/ELT scripts.
• Hands-on experience with application development, relational database layout, development, data modeling.

In Lieu of Education

• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans or individuals with disabilities.

Data Intelligence - Engineer, Data Sr
PURPOSE:
The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.

ESSENTIAL FUNCTIONS:
20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using multiple technologies.
15% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
15% Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery.
15% Creates data collection frameworks for structured and unstructured data.
15% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
10% Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
10% Applies and implements best practices for data auditing, scalability, reliability and application performance.

Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable
accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Level: Bachelor's Degree

Education Details: Computer Science, Information Technology or Engineering or related field

Experience: 5 years Experience with database design and developing modeling tools. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling.

In Lieu of Education
In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Preferred Qualifications
Knowledge, Skills and Abilities (KSAs)
Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python)., Expert
Knowledge and understanding of database design and implementation concepts. , Expert
Knowledge and understanding of data exchange formats., Expert
Knowledge and understanding of data movement concepts., Expert
Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert
Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Advanced





EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Company Overview:
Req ID: (phone number removed)
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Doc Intelligence Engineer to join our team in Plano, Texas (US-TX), United States (US).

We are seeking an experienced Doc Intelligence Engineer to join our team and play a key role in designing, developing, and deploying advanced AI/ML and document intelligence solutions. The ideal candidate will have hands-on expertise with Azure cloud services, modern machine learning frameworks, and GenAI development patterns.

Job Description:

• Design and build AI/ML applications involving prediction models, recommendation engines, natural language processing, computer vision, bots, and document-intelligence solutions.
• Apply expert-level knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, spaCy, and scikit-learn.
• Utilize Azure technologies, including Azure OpenAI, Azure AI Foundry, Azure ML Studio, and Azure Kubernetes Service (AKS).
• Deploy Azure cloud solutions using Terraform, applying DevOps best practices and automated deployment pipelines.
• Develop high-performance backend solutions using Python and frameworks such as Django, Flask, Django REST Framework, or FastAPI.
• Work with RAG (Retrieval-Augmented Generation) models and agents frameworks to optimize GenAI workloads through enhanced information retrieval.
• Build and maintain robust data pipelines to ingest, normalize, and prepare datasets for analytics and model training.
• Collaborate with technical and non-technical stakeholders to ensure project success and communicate complex concepts clearly.
• Ensure high-quality delivery, client satisfaction, and alignment with project objectives.

Minimum Skills Required

8+ years of hands-on experience with:

• Azure Document Intelligence
• Azure Kubernetes Service (AKS)
• RAG (Retrieval-Augmented Generation) development patterns
• Python programming

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at (url removed)

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $60.12 - $70/hour. Actual compensation will depend on several factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

NTT DATA endeavors to make (url removed) accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at (url removed). This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Data Analytics / Business Intelligence Intern to support our data, reporting, and analytics initiatives. This role provides hands-on exposure to enterprise data environments and offers the opportunity to work closely with data engineers, and business stakeholders across supply chain, finance, and commercial functions.

Key Responsibilities
" Assist with data validation and quality checks to ensure accuracy and consistency across datasets
" Support the creation of consolidated fact views by aggregating data from multiple source systems
" Help implement and support enterprise data processes and reporting standards
" Assist in developing and maintaining data models related to supply chain and distribution analytics
" Support troubleshooting of data issues, data models, and reports in collaboration with senior team members
" Help optimize datasets and reporting performance
" Assist with data pipeline monitoring and reporting pipeline management
" Document data logic, processes, and findings as needed

Qualifications
" Currently pursuing a degree in Data Analytics, Information Systems, Computer Science, Engineering, Finance, or a related field
" Basic understanding of databases, data modeling, or analytics concepts
" Familiarity with SQL, Excel, Power BI, or similar tools
" Strong analytical thinking and attention to detail
" Willingness to learn and work in a collaborative enterprise environment

We’re seeking a mission-aligned, strategically-minded Data Analyst to support enterprise-wide visibility and decision intelligence across business, engineering, operations, cost, performance, and security data.

In this role, you’ll lead the analysis, visualization, and interpretation of data from enterprise platforms like Splunk IT Service Intelligence (ITSI) and ServiceNow, transforming raw inputs into powerful insights and executive dashboards using Power BI and Tableau.

The ideal candidate understands the end-to-end data engineering lifecycle, and brings rigor to the testing, verification, and validation (V&V) of data pipelines and collections to ensure accuracy, reliability, and trust.

Core Position Responsibilities:

• Analyze and interpret complex data sets across enterprise domains—cost, performance, service operations, engineering workflows, and cybersecurity.
• Leverage Splunk ITSI to develop and manage KPIs, service definitions, glass tables, and episode dashboards to provide real-time insights and visibility.
• Design and deliver dynamic, intuitive dashboards in Power BI and Tableau that communicate key metrics to both technical and executive audiences.
• Collaborate with stakeholders across IT, business, and finance to translate mission needs into analytical solutions and forecast models.
• Partner with data engineering teams to understand data flows, support validation processes, and ensure quality across source systems and downstream products.
• Perform and document testing, verification, and validation (V&V) of data pipelines and collections to ensure integrity and trustworthiness.
• Contribute to data governance and data quality frameworks across enterprise systems.

Required Skills & Experience:

• Position requires an Active Top Secret/SCI with Full Scope Polygraph
• Bachelor's Degree required, Master's preferred
• 12+ years of related work experience
• Demonstrated experience analyzing business, engineering, cost, and security data across enterprise platforms.
• Hands-on expertise in Splunk ITSI, including configuration of services, KPIs, and service health monitoring tools.
• Strong skills in Power BI, Tableau, SQL, and Excel for analysis, modeling, and executive reporting.
• Familiarity with ServiceNow data models, workflows, and reporting structures.
• Understanding of the data engineering lifecycle and collaboration with data pipeline teams.
• Experience with data validation and V&V processes to ensure the accuracy, completeness, and consistency of data used in decision-making.

Preferred Qualifications:

• Experience in Agile, Scrum, or ITIL-aligned operational environments.
• Familiarity with modern data platforms (data lakes, cloud data environments) and structured/unstructured data management.
• Ability to create multi-layered dashboards that serve business, operations, and technical audiences.
• Clear communicator with a strong ability to translate complex analysis into actionable insights aligned to mission objectives.
• Curiosity-driven and impact-oriented—driven to uncover the “why,” not just the “what.