Analytics Engineer Visa Sponsorship Jobs in North Carolina
Analytics engineer roles in North Carolina are concentrated in the Research Triangle, where companies like Red Hat, Cisco, and SAS Institute hire internationally for data pipeline and transformation work. Charlotte's growing financial services sector adds further demand. Employers in both hubs have established visa sponsorship track records, making North Carolina one of the stronger states for analytics engineer opportunities.
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Get Access To All JobsThe Position
Data & Analytics Engineer/Senior Data & Analytics Engineer (PI, MQTT and UNS)
The Opportunity
Welcome to Holly Springs, North Carolina— home to Roche/Genentech's largest-ever investment: a $2B greenfield start-up where next-generation technology, high-performing teams and Operational Excellence converge to create the global standard for high-volume, highly-efficient Drug Product manufacturing.
The facility's core is defined by Innovation - leveraging advanced automation, robotics, digital tools, real-time data analytics, and simple, streamlined processes to produce the highest quality medicines. This plant meets today’s demand for CVRM (Cardiovascular, Renal, and Metabolism) medicines and is scalable to grow with the portfolio, which focuses on next-generation metabolic medicines specifically targeting the global obesity epidemic and Type 2 diabetes. This is a fast-paced, entrepreneurial environment with a high-level of accountability, with planned launch in 2028.
Behind every product sold by Roche is Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes lifesaving medicines at 11 locations, with the support of partners from around the world. Information (IT) and Automation Technology (OT) teams are key in producing and delivering medicine to patients. The organization is currently undergoing a transformation towards digitalization, advancing fundamental elements to meet future needs, such as using new technologies.
As a Data & Analytics Engineer/Senior Data & Analytics Engineer, you will perform a mix of remote and onsite work (first at the General Planner’s office, later at construction site/plant). You will transition to local full-time on-site work once the site buildings are built and equipment delivered.
What you’ll be working on:
- Development and lifecycle management of the data historian and related data systems in a GMP regulated environment.
- Design, configure, and maintain the OSI PI System infrastructure including PI Data Archive, PI Asset Framework (AF), PI Vision, and PI Analysis Service.
- Design and support robust data pipelines, ensuring contextualized data from OSI PI and MQTT sources is available for advanced analytics, predictive modeling, and integration with Level 4 business systems (e.g., ERP, LIMS, PLM).
- Performing application administration (user admin, patching, upgrades, audit support, system and database log review and maintenance).
- Software development in various languages, testing and configuration of COTS or custom applications to support HSP manufacturing systems and support of stakeholders.
- Development and management of standardized Asset Framework (AF) templates, attributes, and hierarchies to represent site equipment and processes consistently.
- Creation and maintenance of operational dashboards and displays in PI Vision to provide real-time visibility for manufacturing, quality, and engineering teams.
- Partnering with IT and Automation teams to ensure high availability, disaster recovery, and cybersecurity compliance of the PI system.
- Drafting and execution of validation documentation (IQ/OQ/PQ) and standard operating procedures (SOPs) for the PI system in accordance with 21 CFR Part 11 and GxP standards.
- Performing routine system maintenance, including upgrades, security patching, and health monitoring to ensure 24/7 reliability.
- Providing technical mentorship and support to system users, helping them leverage PI data for process optimization and troubleshooting.
- Monitoring and analysis of manufacturing data as necessary to provide support for process discrepancies, investigations, validation protocols, process transfers, or equipment troubleshooting.
- Working to identify opportunities to create additional value and improve business processes and patient outcomes, maximize the benefits of standardization of technologies and leverage across sites.
- Executing implementation and delivery of projects on-site IT OT Product Portfolio.
- Assisting in the development of end-user and maintenance training materials.
- Providing diagnostic troubleshooting assistance to maintenance and technicians as required, including off-hour and on-call support.
Who You Are
Data & Analytics Engineer (PI, MQTT and UNS)
- Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
- 5+ years of experience implementing and managing data and/or analytics solutions. Highly desirable AVEVA PI Data Historian experience or experience from other platforms that will accelerate learning on those platforms.
- Prior experience in working closely with IT OT providers/vendors.
- Travel of up to 30% of the time is expected during the project phase.
The expected salary range for this position based on the primary location of Holly Springs, North Carolina is $78,900 - $146,500.
Senior Data & Analytics Engineer (PI, MQTT and UNS)
- Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
- 8+ years of experience implementing and managing data and/or analytics solutions. Highly desirable AVEVA PI Data Historian experience or experience from other platforms that will accelerate learning on those platforms.
- Prior experience in working closely with IT OT providers/vendors.
- Travel of up to 30% of the time is expected during the project phase.
The expected salary range for this position based on the primary location of Holly Springs, North Carolina is $95,200 - $176,800.
Physical Requirements:
- Ability to work in a manufacturing environment, which may include cleanrooms and technical areas.
- Position requires standard office work including prolonged sitting and computer usage.
- May require occasional lifting of up to 25 lbs. related to hardware maintenance.
The ideal candidate will have expertise domain knowledge in the following area(s). These skills are highly preferred.
- Biopharmaceutical or similar Manufacturing domain.
- Advanced knowledge of data management solutions such as AVEVA PI System.
- Advanced knowledge of data management integration technologies such as OPC standards, PI connectors, PI interfaces, MQTT, RDBMS, XML, JSON, REST API, Highbyte, etc.
- Proficiency with MQTT protocol and broker technologies (e.g., HiveMQ, Mosquitto).
- Familiarity with modern data engineering tools and languages (e.g., Python, scripting) to manipulate and route data streams.
- Knowledge of operational analytics tools such as PI Vision, SEEQ is a plus.
- Knowledge of Manufacturing Execution Systems (Pharmasuite or Syncade), Manufacturing Control Systems (Emerson or Rockwell), LIMS, and SAP considered a plus.
- Advanced knowledge of Good Manufacturing Practices (GMP), Health Authority practices, 21 CFR Part 11, cGMP Annex 11, Data Integrity principles.
- Exhibits intellectual curiosity and integrity and has a strong passion to bring value-adding technology to the business.
Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#CVRM
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
The Position
Data & Analytics Engineer/Senior Data & Analytics Engineer (PI, MQTT and UNS)
The Opportunity
Welcome to Holly Springs, North Carolina— home to Roche/Genentech's largest-ever investment: a $2B greenfield start-up where next-generation technology, high-performing teams and Operational Excellence converge to create the global standard for high-volume, highly-efficient Drug Product manufacturing.
The facility's core is defined by Innovation - leveraging advanced automation, robotics, digital tools, real-time data analytics, and simple, streamlined processes to produce the highest quality medicines. This plant meets today’s demand for CVRM (Cardiovascular, Renal, and Metabolism) medicines and is scalable to grow with the portfolio, which focuses on next-generation metabolic medicines specifically targeting the global obesity epidemic and Type 2 diabetes. This is a fast-paced, entrepreneurial environment with a high-level of accountability, with planned launch in 2028.
Behind every product sold by Roche is Pharma Global Technical Operations (PT). Starting with Phase I of the development process and continuing through to product maturity, PT makes lifesaving medicines at 11 locations, with the support of partners from around the world. Information (IT) and Automation Technology (OT) teams are key in producing and delivering medicine to patients. The organization is currently undergoing a transformation towards digitalization, advancing fundamental elements to meet future needs, such as using new technologies.
As a Data & Analytics Engineer/Senior Data & Analytics Engineer, you will perform a mix of remote and onsite work (first at the General Planner’s office, later at construction site/plant). You will transition to local full-time on-site work once the site buildings are built and equipment delivered.
What you’ll be working on:
- Development and lifecycle management of the data historian and related data systems in a GMP regulated environment.
- Design, configure, and maintain the OSI PI System infrastructure including PI Data Archive, PI Asset Framework (AF), PI Vision, and PI Analysis Service.
- Design and support robust data pipelines, ensuring contextualized data from OSI PI and MQTT sources is available for advanced analytics, predictive modeling, and integration with Level 4 business systems (e.g., ERP, LIMS, PLM).
- Performing application administration (user admin, patching, upgrades, audit support, system and database log review and maintenance).
- Software development in various languages, testing and configuration of COTS or custom applications to support HSP manufacturing systems and support of stakeholders.
- Development and management of standardized Asset Framework (AF) templates, attributes, and hierarchies to represent site equipment and processes consistently.
- Creation and maintenance of operational dashboards and displays in PI Vision to provide real-time visibility for manufacturing, quality, and engineering teams.
- Partnering with IT and Automation teams to ensure high availability, disaster recovery, and cybersecurity compliance of the PI system.
- Drafting and execution of validation documentation (IQ/OQ/PQ) and standard operating procedures (SOPs) for the PI system in accordance with 21 CFR Part 11 and GxP standards.
- Performing routine system maintenance, including upgrades, security patching, and health monitoring to ensure 24/7 reliability.
- Providing technical mentorship and support to system users, helping them leverage PI data for process optimization and troubleshooting.
- Monitoring and analysis of manufacturing data as necessary to provide support for process discrepancies, investigations, validation protocols, process transfers, or equipment troubleshooting.
- Working to identify opportunities to create additional value and improve business processes and patient outcomes, maximize the benefits of standardization of technologies and leverage across sites.
- Executing implementation and delivery of projects on-site IT OT Product Portfolio.
- Assisting in the development of end-user and maintenance training materials.
- Providing diagnostic troubleshooting assistance to maintenance and technicians as required, including off-hour and on-call support.
Who You Are
Data & Analytics Engineer (PI, MQTT and UNS)
- Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
- 5+ years of experience implementing and managing data and/or analytics solutions. Highly desirable AVEVA PI Data Historian experience or experience from other platforms that will accelerate learning on those platforms.
- Prior experience in working closely with IT OT providers/vendors.
- Travel of up to 30% of the time is expected during the project phase.
The expected salary range for this position based on the primary location of Holly Springs, North Carolina is $78,900 - $146,500.
Senior Data & Analytics Engineer (PI, MQTT and UNS)
- Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
- 8+ years of experience implementing and managing data and/or analytics solutions. Highly desirable AVEVA PI Data Historian experience or experience from other platforms that will accelerate learning on those platforms.
- Prior experience in working closely with IT OT providers/vendors.
- Travel of up to 30% of the time is expected during the project phase.
The expected salary range for this position based on the primary location of Holly Springs, North Carolina is $95,200 - $176,800.
Physical Requirements:
- Ability to work in a manufacturing environment, which may include cleanrooms and technical areas.
- Position requires standard office work including prolonged sitting and computer usage.
- May require occasional lifting of up to 25 lbs. related to hardware maintenance.
The ideal candidate will have expertise domain knowledge in the following area(s). These skills are highly preferred.
- Biopharmaceutical or similar Manufacturing domain.
- Advanced knowledge of data management solutions such as AVEVA PI System.
- Advanced knowledge of data management integration technologies such as OPC standards, PI connectors, PI interfaces, MQTT, RDBMS, XML, JSON, REST API, Highbyte, etc.
- Proficiency with MQTT protocol and broker technologies (e.g., HiveMQ, Mosquitto).
- Familiarity with modern data engineering tools and languages (e.g., Python, scripting) to manipulate and route data streams.
- Knowledge of operational analytics tools such as PI Vision, SEEQ is a plus.
- Knowledge of Manufacturing Execution Systems (Pharmasuite or Syncade), Manufacturing Control Systems (Emerson or Rockwell), LIMS, and SAP considered a plus.
- Advanced knowledge of Good Manufacturing Practices (GMP), Health Authority practices, 21 CFR Part 11, cGMP Annex 11, Data Integrity principles.
- Exhibits intellectual curiosity and integrity and has a strong passion to bring value-adding technology to the business.
Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#CVRM
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
Analytics Engineer Job Roles in North Carolina
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Search Analytics Engineer Jobs in North CarolinaAnalytics Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in North Carolina?
SAS Institute in Cary, Red Hat and Cisco in the Research Triangle Park area, and Fidelity Investments and Bank of America in Charlotte are among the North Carolina employers with documented H-1B visa sponsorship histories for data and analytics roles. Large healthcare systems like Duke Health and UNC Health also hire analytics engineers and have sponsored international candidates for technical positions.
Which cities in North Carolina have the most analytics engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, accounts for the majority of analytics engineer sponsorship activity in North Carolina, driven by its dense concentration of technology and life sciences employers. Charlotte is the second-largest hub, particularly for finance-adjacent analytics roles. Smaller pockets of demand exist near university research centers in Greensboro and Winston-Salem.
Which visa types are most common for analytics engineer roles in North Carolina?
The H-1B is the most common visa for analytics engineers in North Carolina, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant technical field such as computer science, data science, or engineering. Some candidates also enter on F-1 OPT or STEM OPT extensions before transitioning to H-1B sponsorship. Canadians and Mexicans may qualify under the TN visa in a related NAFTA/USMCA category.
How to find analytics engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search analytics engineer roles in North Carolina without sorting through positions that do not sponsor. You can narrow results by location, filtering for Raleigh, Durham, Charlotte, or the broader Research Triangle area. Migrate Mate focuses exclusively on international candidates, so every listed role reflects an employer open to sponsoring work authorization.
Are there state-specific factors that affect visa sponsorship for analytics engineers in North Carolina?
North Carolina's Research Triangle Park is one of the densest technology employment zones in the Southeast, which means many local employers have in-house immigration counsel and established H-1B filing processes. The region's proximity to North Carolina State University, Duke, and UNC Chapel Hill creates consistent pipelines of international STEM graduates familiar to local hiring teams. Employers must still meet Department of Labor prevailing wage requirements tied to the specific work location, which can differ between Raleigh-Durham and Charlotte.
What is the prevailing wage for sponsored analytics engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.