Data Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's data engineering market draws hiring from major pharma and finance employers like Johnson & Johnson, Prudential, and Cognizant, with strong clusters in Jersey City, Newark, and Princeton. International candidates pursuing visa sponsorship will find active H-1B visa filings across both Fortune 500 corporations and mid-size tech consultancies operating throughout the state.
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Get Access To All JobsLocation: Parsippany based
Position Summary
The candidate will play a critical role in the development of a advanced-analytics enabled enhancement of Zoetis’ go-to-market sales strategy. The candidate will be responsible for shaping the core data capabilities that drive critical use cases within the organization, such as revenue generation tactics and strategies to detect and prevent potential customer defection. This candidate will also support data quality and governance initiatives such as master data management, and assist the data engineering team in applying advanced analytics to both internal and external data sources to solve complex business problems. The role will provide the candidate with an exceptionally broad view of every aspect of Zoetis’ business, while serving as critical support for the US Petcare division.
To be successful, the ideal candidate will demonstrate an advanced technical expertise, along with a thirst for knowledge and natural curiosity to enable rapid learning of the Zoetis business model and data infrastructure at a scale to support a growing $2b region. The position involves working with structured and unstructured real-world data, requiring a candidate who is comfortable thinking independently about solving business problems. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision, and must be comfortable in an environment of changing priorities. Candidates should have a strong business acumen, with evidence of delivered business value, preferably in a commercial setting.
Job Responsibilities
- Design, develop, test and implement database solutions related to optimal data pipeline architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL Server, Oracle, Sales Force, Python and Big Data technologies.
- Develop, construct, test and maintain US commercial data layers to enable modeling.
- Collaborate with and enable data scientists on the team to rapidly iterate on model building and deployment.
- Assists in data quality, integrity, and documentation efforts in support of data governance initiatives.
- Automate processes that increase productivity for the US commercial data and analytics team.
- Develop and implement controls to ensure data integrity and regulatory compliance (SOX).
- Package and support deployment of releases of new code within our Azure environment.
- Drive innovation within the group in areas including development efficiencies within Databricks, and leading-edge industry concepts and developments.
- Monitor the production schedule and provide support to remediate job failures.
- Provide support to team members when they need a solution to a complex issue.
- Provide production support to business users.
Education and Experience
- Masters from an accredited college/university in Computer Science, Information Technology, Electrical Engineering, or related field.
- Minimum of Three years of professional experience working as a Data Engineer.
- Deep experience building deployed data pipelines / ETL.
- Expertise in designing, building and maintaining large-scale databases.
- Deep acuity in leveraging the latest in big data and cloud infrastructure methodologies.
- Demonstrated ability to learn and apply new concepts and technologies.
- Experience working directly with data scientists to build and deploy predictive and optimization models, including assisting in feature engineering.
- Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to both technical and non-technical audiences.
- Fluency in English required.
- Expertise in database design, creation, and maintenance.
Technical Skill Requirements
- Hands-on experience in latest data infrastructure technologies, including cloud-based (e.g. Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS).
- Strong proficiency in SQL and at least one programming language (Python, Scala, Java).
- Experience in working with modern ETL tools and data pipeline platforms (e.g., Databricks, Azure Data Factory, Airflow, DBT, Prefect).
- Experience in large-scale/distributed computing and analytics (Hadoop, Spark).
- Familiarity with predictive model building in Python (Pandas/PySpark) / R.
- Experience with source control and collaboration tools (e.g. Git).
- Software development / engineering experience a plus.
- Experience in scaled model testing, integration, and deployment (DevOps) a plus.
- Experience working in Microsoft tech stack preferred.
Physical Requirements
- Position is based in Parsippany, NJ.
- Office based, Hybrid position.
- Travel approximately 5%.
The US base salary range for this full-time position is $105,000 - $151,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation.
Visit zoetisbenefits.com to learn more.
Full time
Regular
Colleague
Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.
Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.
Location: Parsippany based
Position Summary
The candidate will play a critical role in the development of a advanced-analytics enabled enhancement of Zoetis’ go-to-market sales strategy. The candidate will be responsible for shaping the core data capabilities that drive critical use cases within the organization, such as revenue generation tactics and strategies to detect and prevent potential customer defection. This candidate will also support data quality and governance initiatives such as master data management, and assist the data engineering team in applying advanced analytics to both internal and external data sources to solve complex business problems. The role will provide the candidate with an exceptionally broad view of every aspect of Zoetis’ business, while serving as critical support for the US Petcare division.
To be successful, the ideal candidate will demonstrate an advanced technical expertise, along with a thirst for knowledge and natural curiosity to enable rapid learning of the Zoetis business model and data infrastructure at a scale to support a growing $2b region. The position involves working with structured and unstructured real-world data, requiring a candidate who is comfortable thinking independently about solving business problems. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision, and must be comfortable in an environment of changing priorities. Candidates should have a strong business acumen, with evidence of delivered business value, preferably in a commercial setting.
Job Responsibilities
- Design, develop, test and implement database solutions related to optimal data pipeline architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL Server, Oracle, Sales Force, Python and Big Data technologies.
- Develop, construct, test and maintain US commercial data layers to enable modeling.
- Collaborate with and enable data scientists on the team to rapidly iterate on model building and deployment.
- Assists in data quality, integrity, and documentation efforts in support of data governance initiatives.
- Automate processes that increase productivity for the US commercial data and analytics team.
- Develop and implement controls to ensure data integrity and regulatory compliance (SOX).
- Package and support deployment of releases of new code within our Azure environment.
- Drive innovation within the group in areas including development efficiencies within Databricks, and leading-edge industry concepts and developments.
- Monitor the production schedule and provide support to remediate job failures.
- Provide support to team members when they need a solution to a complex issue.
- Provide production support to business users.
Education and Experience
- Masters from an accredited college/university in Computer Science, Information Technology, Electrical Engineering, or related field.
- Minimum of Three years of professional experience working as a Data Engineer.
- Deep experience building deployed data pipelines / ETL.
- Expertise in designing, building and maintaining large-scale databases.
- Deep acuity in leveraging the latest in big data and cloud infrastructure methodologies.
- Demonstrated ability to learn and apply new concepts and technologies.
- Experience working directly with data scientists to build and deploy predictive and optimization models, including assisting in feature engineering.
- Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to both technical and non-technical audiences.
- Fluency in English required.
- Expertise in database design, creation, and maintenance.
Technical Skill Requirements
- Hands-on experience in latest data infrastructure technologies, including cloud-based (e.g. Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS).
- Strong proficiency in SQL and at least one programming language (Python, Scala, Java).
- Experience in working with modern ETL tools and data pipeline platforms (e.g., Databricks, Azure Data Factory, Airflow, DBT, Prefect).
- Experience in large-scale/distributed computing and analytics (Hadoop, Spark).
- Familiarity with predictive model building in Python (Pandas/PySpark) / R.
- Experience with source control and collaboration tools (e.g. Git).
- Software development / engineering experience a plus.
- Experience in scaled model testing, integration, and deployment (DevOps) a plus.
- Experience working in Microsoft tech stack preferred.
Physical Requirements
- Position is based in Parsippany, NJ.
- Office based, Hybrid position.
- Travel approximately 5%.
The US base salary range for this full-time position is $105,000 - $151,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation.
Visit zoetisbenefits.com to learn more.
Full time
Regular
Colleague
Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.
Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.
Data Engineer Job Roles in New Jersey
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Search Data Engineer Jobs in New JerseyData Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data engineers in New Jersey?
Consistent H-1B sponsors for data engineer roles in New Jersey include Cognizant, Infosys, Tata Consultancy Services, Johnson & Johnson, Prudential Financial, and Merck. Large banks and financial services firms headquartered in Jersey City, such as JP Morgan Chase and Goldman Sachs operations teams, also appear regularly in Department of Labor LCA disclosure data for data engineering positions.
Which visa types are most common for data engineer roles in New Jersey?
The H-1B is the primary visa category for data engineers in New Jersey, as the role typically requires a bachelor's degree or higher in computer science, information systems, or a related field, satisfying the specialty occupation standard. Indian nationals already holding an approved I-140 may work under H-1B extensions beyond the standard six-year cap. Candidates on OPT or STEM OPT can begin working before an H-1B petition is filed.
Which cities in New Jersey have the most data engineer sponsorship jobs?
Jersey City and Newark generate the highest concentration of sponsored data engineer openings, largely because of their proximity to New York City's financial district and the presence of major bank operations and tech hubs. Princeton and the surrounding Route 1 corridor attract significant demand from pharmaceutical and biotech employers. Parsippany and Bridgewater also see steady postings from consulting and insurance sector firms.
How to find data engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse data engineer roles in New Jersey without manually screening hundreds of postings for sponsorship language. The platform surfaces positions from employers with documented H-1B filing histories in the state, which is particularly useful for identifying pharma, finance, and consulting firms in the Jersey City, Newark, and Princeton corridors that actively hire and sponsor international candidates.
Are there any state-specific considerations for data engineers seeking sponsorship in New Jersey?
New Jersey's prevailing wage requirements for H-1B data engineer positions are benchmarked to the Newark-Jersey City metropolitan area, one of the higher-wage zones in the country, which means employers must certify competitive compensation on the Labor Condition Application. The state's dense concentration of pharmaceutical companies also means many data engineering roles sit at the intersection of engineering and life sciences, so candidates with experience in clinical data pipelines or regulatory data systems may find stronger sponsorship interest.
What is the prevailing wage for sponsored data engineer jobs in New Jersey?
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.