Data Analytics Manager Visa Sponsorship Jobs in Maryland
Maryland's data analytics manager roles are concentrated around the Baltimore-Washington corridor, with major employers including Leidos, Booz Allen Hamilton, T. Rowe Price, and Johns Hopkins Health System. Federal contracting firms and financial services companies here regularly sponsor H-1B visas for senior analytics talent, making Maryland one of the more active mid-Atlantic states for this role.
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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.
Join us and help build the data platforms that enable better business decisions across a global technology leader.
The Opportunity
Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.
In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.
Key Responsibilities
- Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
- Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
- Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
- Build and optimize semantic models within Power BI to enable trusted and performant reporting.
- Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
- Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
- Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
- Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will Have
You will:
- Deliver reliable and scalable data solutions that support enterprise decision-making.
- Increase trust and accessibility of business-critical data assets.
- Enable faster insights through modern analytics and reporting platforms.
- Improve stakeholder productivity through effective dashboards and self-service analytics.
- Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical Expertise
Strong hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Power BI
- SQL (expert-level proficiency)
Strong experience with:
- Dimensional modeling
- Semantic modeling
- Data modeling best practices
- Data warehouse concepts and architecture
Additional experience:
- Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
- Building Power BI semantic models and developing DAX measures.
- Creating reports, dashboards, and visual analytics solutions.
- Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
- A hands-on data professional who enjoys solving complex analytics and data integration challenges.
- A strong problem solver with a focus on building scalable and maintainable solutions.
- An effective communicator who can bridge business and technical requirements.
- A collaborative team player who thrives in cross-functional environments.
- Detail-oriented and committed to delivering high-quality solutions.
- Curious and passionate about modern data technologies and best practices.
- Results-driven and focused on delivering measurable business value through data.
The Team
You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and Benefits
Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.
We Are
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.
Join us and help build the data platforms that enable better business decisions across a global technology leader.
The Opportunity
Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.
In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.
Key Responsibilities
- Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
- Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
- Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
- Build and optimize semantic models within Power BI to enable trusted and performant reporting.
- Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
- Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
- Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
- Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will Have
You will:
- Deliver reliable and scalable data solutions that support enterprise decision-making.
- Increase trust and accessibility of business-critical data assets.
- Enable faster insights through modern analytics and reporting platforms.
- Improve stakeholder productivity through effective dashboards and self-service analytics.
- Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical Expertise
Strong hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Power BI
- SQL (expert-level proficiency)
Strong experience with:
- Dimensional modeling
- Semantic modeling
- Data modeling best practices
- Data warehouse concepts and architecture
Additional experience:
- Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
- Building Power BI semantic models and developing DAX measures.
- Creating reports, dashboards, and visual analytics solutions.
- Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
- A hands-on data professional who enjoys solving complex analytics and data integration challenges.
- A strong problem solver with a focus on building scalable and maintainable solutions.
- An effective communicator who can bridge business and technical requirements.
- A collaborative team player who thrives in cross-functional environments.
- Detail-oriented and committed to delivering high-quality solutions.
- Curious and passionate about modern data technologies and best practices.
- Results-driven and focused on delivering measurable business value through data.
The Team
You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and Benefits
Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.
Data Analytics Manager Job Roles in Maryland
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Search Data Analytics Manager Jobs in MarylandData Analytics Manager Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data analytics managers in Maryland?
Federal contractors and consulting firms dominate Maryland's sponsorship activity for data analytics managers. Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman file H-1B petitions regularly for analytics leadership roles tied to government contracts. Outside the defense sector, T. Rowe Price, CareFirst BlueCross BlueShield, and University of Maryland Medical System have also appeared in Department of Labor disclosure data as sponsors for senior data and analytics positions.
Which visa types are most common for data analytics manager roles in Maryland?
The H-1B is the most common visa category for data analytics managers in Maryland, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as statistics, computer science, or information systems. Candidates already holding L-1 visa intracompany transferee status at a multinational firm with Maryland operations represent another pathway, particularly within large consulting organizations headquartered or contracted in the state.
Which cities in Maryland have the most data analytics manager sponsorship jobs?
Bethesda and Rockville in Montgomery County account for a significant share of Maryland's analytics sponsorship activity, driven by the concentration of federal contractors, biotech firms, and health agencies near the D.C. border. Baltimore is the second major hub, with employers in financial services, healthcare, and higher education. Annapolis and Greenbelt see smaller but consistent activity, primarily from government-adjacent technology and research organizations.
How to find data analytics manager visa sponsorship jobs in Maryland?
Migrate Mate is designed specifically for international job seekers and filters data analytics manager roles in Maryland by employers with a documented history of visa sponsorship. Rather than sorting through general job listings, you can browse roles where H-1B sponsorship has been confirmed through Department of Labor filings. This is especially useful in Maryland, where sponsorship activity is concentrated among federal contractors and healthcare organizations that may not always advertise sponsorship explicitly in job postings.
Are there any Maryland-specific considerations for data analytics managers seeking visa sponsorship?
Maryland's proximity to federal agencies means many data analytics manager roles with contractors require security clearance eligibility, which can affect sponsorship timelines and employer willingness to sponsor. The state also has a strong university pipeline through University of Maryland College Park and Johns Hopkins, meaning competition for sponsored roles can be significant. Employers subject to government contract compliance must meet prevailing wage requirements set by the Department of Labor, which are factored into the Labor Condition Application filed before H-1B petitions.
What is the prevailing wage for sponsored data analytics manager jobs in Maryland?
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.