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Internship Opt Cpt Data Analytics Jobs in Raleigh, NC

Division Sales Engineer

Raleigh, NC · On-site

$86K - $126K/yr

Work on problems of diverse scope where analysis of technical data requires evaluation of ... This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ...

Analyze asset and CAR data, including Facility Condition Index (FCI) scores, to create, share, and manage the master CIF/CPT files. * Perform reconciliation of CAR outputs with existing project lists ...

NASM Tutor

Raleigh, NC · Remote

$18 - $40/hr

Skilled at teaching OPT model application, movement assessment analysis, and program design principles for NASM-CPT examination. Guides students through identifying movement compensations, selecting ...

NASM Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Skilled at teaching OPT model application, movement assessment analysis, and program design principles for NASM-CPT examination. Guides students through identifying movement compensations, selecting ...

NASM Tutor

Durham, NC · Remote

$18 - $40/hr

Skilled at teaching OPT model application, movement assessment analysis, and program design principles for NASM-CPT examination. Guides students through identifying movement compensations, selecting ...

Showing results 41-60

Internship Opt Cpt Data Analytics information

See Raleigh, NC salary details

$11

$21

$40

How much do internship opt cpt data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship opt cpt data analytics in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship OPT CPT Data Analytics?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What is an Internship OPT CPT Data Analytics?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What types of projects can I expect to work on during an Internship OPT CPT Data Analytics?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

What are popular job titles related to Internship Opt Cpt Data Analytics jobs in Raleigh, NC? For Internship Opt Cpt Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Internship Opt Cpt Data Analytics jobs? Cities near Raleigh, NC with the most Internship Opt Cpt Data Analytics job openings:
Infographic showing various Internship Opt Cpt Data Analytics job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.

Cybersecurity Engineer - Application Security Enablement

Labcorp

Durham, NC • On-site

$56.75 - $75.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,137 frontline employees who took The Breakroom Quiz

98th of 120 rated laboratories


Job description

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.
Labcorp is seeking a Cybersecurity Engineer - Application Security Enablement to join our team in a remote capacity.
Location: Remote
Applicants who live within 35 miles of either the Burlington, NC or Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Burlington or Durham, supporting both collaboration and flexibility.
Work Schedule: This is a full-time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.
Work Authorization: This position requires permanent authorization to work in the United States without employer sponsorship now or in the future. Sponsorship (including H-1B, OPT/CPT, EAD, or other temporary work authorization) is not available.
Job Responsibilities
Application Security Design Standards & Patterns
  • Define and document secure development standards and patterns for modern application architectures (web, API, microservices), with guidance grounded in industry best practices such as OWASP and informed by broader frameworks (i.e. NIST, CIS Controls).

  • Develop reusable patterns for common application scenarios such as secure APIs, service-to-service communication and front-end/back-end architecture.

  • Translate complex security risks into clear, developer-focused guidance that can be easily adopted.

  • Contribute to the creation of machine-consumable security patterns to support AI-enabled and automated development tools.

Secure Design Enablement
  • Collaborate with engineers and architects during design discussions to provide guidance on secure application architecture and design decisions.

  • Identify common security pitfalls early in the lifecycle.

  • Provide guidance on secure integration and data protection patterns. For example:
    - Input validation and output encoding
    - API security and authentication flows
    - Session management and token handling
    - Secrets management and secure configuration

  • Promote secure-by-design and secure-by-default principles to enable efficient and secure development practices.

Identity & Access Management (Supporting Role)
  • Support the integration of authentication and authorization patterns within application architecture.

  • Ensure secure implementation of protocols such as OAuth 2.0, OIDC, and SAML.

  • Align application security practices with identity and access management, identity governance, and privileged access management solutions.

Cross-Functional Collaboration
  • Partner with Digital Identity Services, Cybersecurity Engineering, Product Security Testing, and other teams to provide application security guidance and support risk mitigation.

  • Collaborate with the Governance, Risk, and Compliance team to align application security practices with enterprise policies and regulatory requirements.

  • Work with Cybersecurity Operations to enhance detection and response capabilities for application-level threats.

  • Engage with Enterprise Architecture teams to influence secure design decisions.

  • Support data protection initiatives by ensuring appropriate controls for sensitive data handling and exposure mitigation are utilized.

Risk Advisory
  • Review vulnerability patterns and provide guidance on prioritization and remediation of application security risks.

  • Serve as a trusted advisor to engineering and architecture teams, offering practical and actionable security recommendations.

  • Support standardization of application security risk management practices across teams.

Continuous Improvement and Innovation
  • Stay current with emerging threats, vulnerabilities, and trends in application security.

  • Evaluate and evolve security standards to support cloud native, API first, distributed, and AI enabled applications.

  • Contribute to the development of scalable, consistent application security enablement practices across the organization.

Minimum Qualifications
  • High school diploma with 12 or more years of experience in application security, secure software development, or cybersecurity engineering; or Associate degree with 10 or more years of experience; or Bachelor's degree in Computer Science, Information Security, or Engineering with 8 or more years of experience; or Master's degree in Computer Science, Information Security, or Engineering with 6 or more years of experience.
  • 8 or more years of experience in application security, secure software development, or cybersecurity engineering, with a focus on identifying and addressing application-layer risks.

  • 5 or more years of experience applying secure coding principles and addressing application security risks using OWASP Top 10 or similar best practices, with the ability to translate risks into actionable developer guidance.

  • 3 or more years of experience working with enterprise security frameworks such as NIST CSF, CIS Controls, or ISO 27001, with demonstrated ability to align application security practices to these or other applicable frameworks.

  • 3 or more years of experience in application or software development, OR equivalent experience working closely with development teams, with demonstrated ability to engage developers credibly on secure coding practices, design, and remediation strategies.

  • 5 or more years of experience designing or securing web applications, APIs, and microservices architectures, including providing guidance on secure design decisions.

  • 5 or more years of experience identifying, analyzing, and guiding remediation of common vulnerabilities such as injection, XSS, CSRF, broken authentication, and insecure deserialization.

  • 3 or more years of experience applying secure design patterns in real-world systems, with the ability to guide teams on secure-by-design and secure-by-default principles.

  • 2 or more years of experience securing cloud-native applications and APIs in AWS or Azure, including advising on secure architecture and integration patterns.

  • 2 or more years of experience working with authentication and authorization protocols such as OAuth 2.0, OIDC, and SAML, including advising on appropriate implementation within application architectures.

  • 3 or more years of experience operating in a consultative, cross-functional role, providing actionable security guidance to engineering and architecture teams and influencing secure design decisions.

Preferred Qualifications
  • 3 or more years of experience defining or contributing to secure development standards, guidelines, or reference architectures.

  • 3 or more years of experience integrating security into the software development lifecycle (SDLC), including DevSecOps practices and collaboration with CI/CD pipelines and development workflows.

  • 3 or more years of experience working with API security frameworks, standards, or tooling, with the ability to guide teams on securing modern API-driven architectures.

  • 2 or more years of experience applying threat modeling methodologies to identify design-level risks and guide mitigation strategies with engineering and architecture teams.

  • 2 or more years of experience working with application security testing tools (SAST, DAST, SCA), including interpreting findings and helping development teams prioritize and remediate vulnerabilities effectively.

  • 1 or more years of experience enabling the secure design of AI-enabled applications, focusing on security controls and best practices, including emerging risks and secure design patterns, with the ability to guide engineering teams on secure adoption practices.

Additional Job Standards
  • Experience supporting security testing or assessment teams.

  • Familiarity with identity and access management platforms such as Okta, Microsoft Entra ID, or SailPoint.

  • Broad familiarity with cloud platform security capabilities and their integration into enterprise environments.

  • Relevant certifications such as CSSLP, GWAPT, or CISSP.

  • Strong analytical and problem-solving skills with a pragmatic approach to security solutions.

  • Developer-focused mindset with an understanding of modern application development practices.

  • Ability to simplify complex technical concepts for diverse audiences.

  • Strong collaboration skills across engineering, security, and architecture teams.

  • Proven ability to deliver practical, scalable, and reusable solutions.

  • High level of professionalism, adaptability, and continuous learning mindset.

  • Strong communication skills with the ability to translate complex security concepts into practical guidance.

About the Role
The Cybersecurity Engineer - Application Security Enablement plays a critical role in strengthening Labcorp's application security posture by enabling secure design and development practices across engineering teams. This position combines deep technical expertise with a consultative approach to guide teams in building secure, scalable applications. The role supports enterprise security strategy by embedding security standards, improving risk management practices, and advancing secure development capabilities, including the adoption of emerging technologies such as AI-enabled applications.
Application Window: 8/15/2026
Pay Range: $160-170k
All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
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