Data Analytics Engineer Visa Sponsorship Jobs in Massachusetts
Data analytics engineer roles in Massachusetts are concentrated in Greater Boston, where companies like athenahealth, Wayfair, Liberty Mutual, and HubSpot maintain active data engineering teams. The state's dense network of universities and life sciences firms creates consistent demand for international candidates, and many established employers here have structured H-1B visa sponsorship programs for qualifying technical roles.
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Get Access To All JobsINTRODUCTION
Job descriptions may display in multiple languages based on your language selection.
What We Offer
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary
Magna New Mobility is a business unit inside Magna International leveraging Magna’s technology building blocks, developing new capabilities, and entering new markets and use cases. Our products include advanced solutions for urban markets, industrial intralogistics, commercial and autonomous vehicles. Magna New Mobility is also creating advanced software solutions that integrate with next-generation hardware. Our software is a core driver - turning our hardware into smart, integrated platforms for partners eager to advance the mobility sector. Magna's New Mobility group is not just about building individual technologies; we aim to create integrated solutions that address the complex challenges of moving people efficiently and cost effectively in the 21st century. Join us in advancing and shaping the future of mobility.
Job Responsibilities
We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision making across the organization. This role will lead a team of data engineers, data scientists, and analysts responsible for building robust data pipelines, developing advanced algorithms, and delivering actionable insights through dashboards and analytics platforms. The ideal candidate combines strong data engineering ability (Databricks, data pipelines) with data science and algorithmic thinking and has experience delivering business intelligence dashboards (QuickSight or similar tools) that translate complex datasets into operational insights.
What You Will Be Doing In This Role
- Participate and lead design and manage scalable data platforms using Databricks and modern lakehouse architectures
- Oversee ETL/ELT pipelines to ingest data from multiple enterprise systems (ERP, MES, IoT platforms, applications)
- Develop scalable data models that support analytics, machine learning, and reporting
- Ensure data quality, governance, security, and performance across the data ecosystem
- Collaborate with engineering teams to productionize data science models within the platform. Evaluate and implement advanced analytics techniques and AI capabilities
- Manage the development and maintenance of interactive dashboards and data visualizations using QuickSight or similar BI platforms
- Define and track business KPIs, operational metrics, and performance indicators
- Enable self-service analytics for product, operations, and leadership teams
- Facilitate translation of complex data insights into clear, actionable recommendations
- Lead and mentor a team of data engineers, data scientists, and analysts
- Define technical standards for data engineering, model development, and analytics
- Manage roadmap, sprint planning, and delivery of data and analytics initiatives
- Foster a culture of data-driven decision making across the organization
What You Should Bring To This Role
- Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred
- 8+ years of experience in data engineering and data analytics required
- 2+ years of experience leading data or analytics teams preferred
- Strong experience with Databricks, Spark, or modern lakehouse architectures required
- Expertise in SQL and Python for data engineering and analytics required
- Strong understanding of algorithms, statistical modeling, and data science techniques required
- Experience building business intelligence dashboards (QuickSight, Tableau, Power BI, Looker) required
Hiring Base Salary Range:
$105,780 - $196,440 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data). In addition to base salary, some positions are eligible for an annual performance based bonus.
Awareness, Unity, Empowerment
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type
Regular / Permanent
Group
Magna Corporate
INTRODUCTION
Job descriptions may display in multiple languages based on your language selection.
What We Offer
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary
Magna New Mobility is a business unit inside Magna International leveraging Magna’s technology building blocks, developing new capabilities, and entering new markets and use cases. Our products include advanced solutions for urban markets, industrial intralogistics, commercial and autonomous vehicles. Magna New Mobility is also creating advanced software solutions that integrate with next-generation hardware. Our software is a core driver - turning our hardware into smart, integrated platforms for partners eager to advance the mobility sector. Magna's New Mobility group is not just about building individual technologies; we aim to create integrated solutions that address the complex challenges of moving people efficiently and cost effectively in the 21st century. Join us in advancing and shaping the future of mobility.
Job Responsibilities
We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision making across the organization. This role will lead a team of data engineers, data scientists, and analysts responsible for building robust data pipelines, developing advanced algorithms, and delivering actionable insights through dashboards and analytics platforms. The ideal candidate combines strong data engineering ability (Databricks, data pipelines) with data science and algorithmic thinking and has experience delivering business intelligence dashboards (QuickSight or similar tools) that translate complex datasets into operational insights.
What You Will Be Doing In This Role
- Participate and lead design and manage scalable data platforms using Databricks and modern lakehouse architectures
- Oversee ETL/ELT pipelines to ingest data from multiple enterprise systems (ERP, MES, IoT platforms, applications)
- Develop scalable data models that support analytics, machine learning, and reporting
- Ensure data quality, governance, security, and performance across the data ecosystem
- Collaborate with engineering teams to productionize data science models within the platform. Evaluate and implement advanced analytics techniques and AI capabilities
- Manage the development and maintenance of interactive dashboards and data visualizations using QuickSight or similar BI platforms
- Define and track business KPIs, operational metrics, and performance indicators
- Enable self-service analytics for product, operations, and leadership teams
- Facilitate translation of complex data insights into clear, actionable recommendations
- Lead and mentor a team of data engineers, data scientists, and analysts
- Define technical standards for data engineering, model development, and analytics
- Manage roadmap, sprint planning, and delivery of data and analytics initiatives
- Foster a culture of data-driven decision making across the organization
What You Should Bring To This Role
- Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred
- 8+ years of experience in data engineering and data analytics required
- 2+ years of experience leading data or analytics teams preferred
- Strong experience with Databricks, Spark, or modern lakehouse architectures required
- Expertise in SQL and Python for data engineering and analytics required
- Strong understanding of algorithms, statistical modeling, and data science techniques required
- Experience building business intelligence dashboards (QuickSight, Tableau, Power BI, Looker) required
Hiring Base Salary Range:
$105,780 - $196,440 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data). In addition to base salary, some positions are eligible for an annual performance based bonus.
Awareness, Unity, Empowerment
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type
Regular / Permanent
Group
Magna Corporate
Data Analytics Engineer Job Roles in Massachusetts
See all 519+ Data Analytics Engineer Jobs in Massachusetts
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Search Data Analytics Engineer Jobs in MassachusettsData Analytics Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Massachusetts?
Several large Massachusetts employers have consistent track records of H-1B sponsorship for data engineering roles. These include Wayfair, athenahealth, Liberty Mutual, Fidelity Investments, Biogen, and MathWorks. Boston-area tech firms and life sciences companies tend to have dedicated immigration support teams, making them more likely to navigate the sponsorship process for qualified candidates than smaller startups.
Which visa types are most common for data analytics engineer roles in Massachusetts?
The H-1B is the most common visa for data analytics engineers in Massachusetts, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates already in the U.S. on OPT or STEM OPT frequently transition to H-1B through Boston-area employers. The O-1A is an option for candidates with documented exceptional contributions, though it requires a higher evidentiary bar.
Which cities in Massachusetts have the most data analytics engineer sponsorship jobs?
Boston and Cambridge account for the largest share of data analytics engineer sponsorship activity in Massachusetts, driven by the concentration of tech companies, financial services firms, and research institutions in those areas. Waltham and Burlington are secondary hubs, home to enterprise software and biotech companies that regularly hire data engineers. Somerville has also grown as a tech employer base, particularly for mid-size product companies.
How to find data analytics engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data analytics engineer roles in Massachusetts without sorting through positions that don't support international candidates. The platform is designed for this search, surfacing roles from employers with documented sponsorship history. Filtering by state and role category on Migrate Mate gives you a focused list rather than a general job board result set.
Are there state-specific factors that affect data analytics engineer sponsorship in Massachusetts?
Massachusetts employers must pay data analytics engineers at or above the Department of Labor prevailing wage for the role and geographic area, which reflects the high cost of the Greater Boston market. The state's strong university pipeline, including MIT, Boston University, and Northeastern, means many local employers are accustomed to hiring internationally and have existing relationships with immigration counsel. Life sciences and fintech firms here tend to sponsor more consistently than early-stage startups.
What is the prevailing wage for sponsored data analytics engineer jobs in Massachusetts?
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.