Data Analytics Engineer Visa Sponsorship Jobs in Maryland
Maryland's data analytics engineer market centers on the Baltimore-Washington corridor, with major employers including Booz Allen Hamilton, Leidos, Northrop Grumman, and a dense cluster of federal contractors and health systems. Many of these organizations have established visa sponsorship programs, particularly for roles involving large-scale data infrastructure and analytics pipeline development.
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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 Analytics Engineer Job Roles in Maryland
See all 61+ Data Analytics Engineer Jobs in Maryland
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Search Data Analytics Engineer Jobs in MarylandData Analytics Engineer Jobs in Maryland: Frequently Asked Questions
Which companies in Maryland sponsor visas for data analytics engineers?
Federal contractors dominate Maryland's sponsorship activity for data analytics engineers. Booz Allen Hamilton, Leidos, Northrop Grumman, and SAIC regularly file H-1B visa petitions for data engineering roles tied to government and defense contracts. Outside contracting, Johns Hopkins Health System, T. Rowe Price, and CareFirst BlueCross BlueShield have also sponsored data analytics engineers. Sponsorship is not guaranteed and varies by role, project funding, and hiring cycle.
Which visa types are most common for data analytics engineer roles in Maryland?
The H-1B is the most common visa for data analytics engineers in Maryland, given the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, meeting the specialty occupation standard. F-1 OPT and STEM OPT extensions are also widely used by recent graduates entering the field, providing a bridge before employer-sponsored H-1B petitions. Some candidates also hold L-1B or O-1 visas depending on their background.
How to find data analytics engineer visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically by visa sponsorship status, so you can search data analytics engineer roles in Maryland without sifting through positions that don't offer sponsorship. Given Maryland's concentration of federal contractors and health sector employers, filtering by industry on Migrate Mate helps narrow results to organizations with active sponsorship programs. Setting up alerts for Maryland-based data analytics engineer openings is the most efficient way to stay current.
Which cities in Maryland have the most data analytics engineer sponsorship jobs?
Bethesda and Rockville in Montgomery County lead Maryland for data analytics engineer sponsorship jobs, driven by proximity to federal agencies and a high density of government contractors. Baltimore is the second major hub, anchored by Johns Hopkins, University of Maryland Medical System, and financial services firms. Annapolis and Columbia also have notable activity. Most sponsored roles are accessible by commute from the broader Baltimore-Washington corridor.
Are there state-specific factors that affect data analytics engineer visa sponsorship in Maryland?
Maryland's heavy reliance on federal contracting creates a meaningful consideration: some data analytics engineer roles require security clearances, which are generally unavailable to visa holders who are not permanent residents or U.S. citizens. This narrows the sponsorship pool in practice, though many contractors also staff unclassified analytics projects where clearance is not required. Maryland's strong university pipeline through University of Maryland College Park and Johns Hopkins also supports a steady flow of OPT-eligible candidates entering sponsorship pathways.
What is the prevailing wage for sponsored data analytics engineer 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.