Data Analyst Visa Sponsorship Jobs in Maryland
Maryland's data analyst job market draws on a dense concentration of federal agencies, defense contractors, and life sciences firms. Major employers like Leidos, Booz Allen Hamilton, Lockheed Martin, and the NIH ecosystem in Bethesda and Rockville regularly hire analysts with visa sponsorship. The state's proximity to Washington, D.C. deepens the demand further.
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Get Access To All JobsWe 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.
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 Analyst Job Roles in Maryland
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Search Data Analyst Jobs in MarylandData Analyst Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data analysts in Maryland?
Federal contractors and government technology firms lead sponsorship activity in Maryland. Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman have consistent H-1B visa filing histories for data analyst roles. Life sciences companies around the I-270 corridor, including those supporting NIH research in Bethesda and Rockville, also sponsor regularly. Sponsorship rates vary by team, contract type, and the specific role's clearance requirements.
Which visa types are most common for data analyst roles in Maryland?
The H-1B is the most common visa for data analysts in Maryland, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a related field. Some positions at universities or nonprofit research institutions may qualify for cap-exempt H-1B filings. Candidates from Australia may be eligible for the E-3 visa, and Canadian and Mexican nationals may qualify under the TN visa category.
Which cities in Maryland have the most data analyst sponsorship jobs?
The greatest concentration of sponsored data analyst roles is in the D.C. suburbs, particularly Bethesda, Rockville, Silver Spring, and Chevy Chase in Montgomery County. Columbia and Baltimore also have meaningful activity, driven by cybersecurity firms, health systems like Johns Hopkins, and financial services companies. Annapolis sees some demand tied to defense and government contracting as well.
How to find data analyst visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically for roles open to visa sponsorship, making it easier to identify data analyst positions in Maryland without sifting through listings that exclude international candidates. You can search by role and state to surface employers actively hiring analysts across Bethesda, Baltimore, and Columbia. Filtering by sponsorship type helps narrow results to H-1B, E-3 visa, or TN visa-eligible roles depending on your situation.
Are there state-specific considerations for data analysts seeking sponsorship in Maryland?
Maryland's heavy federal contracting presence means many data analyst roles require security clearances, which can complicate or delay sponsorship for candidates on nonimmigrant visas. Clearance eligibility is generally limited to U.S. citizens and permanent residents. Analysts targeting roles that do not require clearances, such as those in life sciences, health IT, or commercial sectors, will find sponsorship more straightforward. University of Maryland and Johns Hopkins generate a strong pipeline of international candidates into the local market.
What is the prevailing wage for sponsored data analyst 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.