Big Data Engineer Visa Sponsorship Jobs in Maryland
Big data engineer visa sponsorship jobs in Maryland are concentrated around the Baltimore-Washington corridor, where federal agencies, defense contractors like Northrop Grumman and Leidos, and health-focused institutions such as Johns Hopkins attract strong demand. Cybersecurity and biomedical data roles add further depth to sponsorship activity across the state.
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General Summary
Under limited direction, responsible for design and implementation of core technologies associated with the organizations data analysis and analytics technical infrastructure. As a core member of a high-performance team, ensure data pipelines are consistently and reliably maintained and analytics capabilities are delivered at an optimum level, helping the organization identify insights from a large number of diverse datasets.
This position reports to the Director, Enterprise Data Integration and Solution Architecture.
Principal Responsibilities and Tasks
The following statements are intended to describe the general nature and level of work being performed by people assigned to this classification. These are not to be construed as an exhaustive list of all job duties performed by personnel so classified.
- Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
- Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis.
- Gathers, analyzes, documents and translates application requirements into data models.
- Builds data models.
- Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies.
- Researches and proposes opportunities for data acquisition and new uses for existing data.
- Codes, tests, and documents new or modified data systems to create robust and scalable applications for analytics.
- Translates complex functional and technical requirements into detailed architecture, design and high performance software.
- Builds and architects next-generation Big Data analytics framework.
- Expands and grows data platform capabilities to solve new data problems and challenges.
- Creates data flow diagrams for business systems.
- Builds automation tools; ensures all automated processes preserve data by managing the alignment of data availability and integration processes.
- Performs technology and product research to better define requirements, resolve important issues and improve the overall capability of the technology stack.
- Contributes to the design and direction of enterprise-wide data architecture as well as design documentation deliverables.
- Supports standardization of documentation and the adoption of standards and practices related to data and applications.
- Develops Relational Data Models, Dimensional Data Models, Data Dictionary and Metadata.
- Develop data set processes for data mining and production.
- Working both independently and in collaboration with our data integration developers, data scientists, designs and builds high-performance algorithms, prototypes, predictive models and proof of concepts.
- Works closely with our developer team to integrate innovative algorithms into our production systems.
- Supports business decisions with ad hoc analysis as needed.
- Assesses and provides recommendations on business relevance, appropriate timing and deployment.
Work Experience
Education and Experience
- Bachelor’s Degree in Computer Science, Mathematics, Information Systems, Engineering, Physical Sciences, Life Sciences or closely related field or equivalent related professional experience is required. Additional certifications are preferred.
- Seven or more (7+) years’ experience designing, implementing and supporting systems in a large scale analytics or data engineering environment containing many disparate application systems and multiple data sources.
- Strong knowledge in programming or scripting languages (e.g., C/C++, Python, Ruby).
- Experience with agile or other rapid application development methods.
- Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures.
Knowledge, Skills and Abilities
- Knowledge of data analysis, end user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into technical solutions.
- Strong knowledge of and experience with statistics or advanced mathematics.
- Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases.
- Working knowledge of relational, document oriented or object oriented databases, such as PostgreSQL, Oracle, Cache, SQL, MongoDB.
- Deep knowledge in data mining, machine learning or natural language processing.
- Strong programming experience to clean and scrub noisy datasets; Experience building algorithms.
- Experience with Hortonworks or the Hadoop ecosystem in general, including HDSF and such tools as Spark, MapReduce, Pig and Hive. Experience with Ranger / Atlas and/or Falcon.
- Experience with various messaging systems, such as ActiveMQ or RabbitMQ.
- Experience with Big Data machine learning toolkits, such as Mahout, SparkML or TensorFlow.
- Must work well in a high-performance team environment.
- Capability to architect highly scalable distributed systems using non-proprietary tools.
- Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases.
Patient Safety
Ensures patient safety in the performance of job functions and through participation in hospital, department or unit patient safety initiatives.
- Takes action to correct observed risks to patient safety.
- Reports adverse events and near misses to appropriate management authority.
- Identifies possible risks in processes, procedures, devices and communicates the same to those in charge.
Benefits
All your information will be kept confidential according to EEO guidelines.
Compensation:
- Pay Range: $57.87 - $92.40
- Other Compensation (if applicable):
- Review the 2025-2026 UMMS Benefits Guide
Job Requirements
General Summary
Under limited direction, responsible for design and implementation of core technologies associated with the organizations data analysis and analytics technical infrastructure. As a core member of a high-performance team, ensure data pipelines are consistently and reliably maintained and analytics capabilities are delivered at an optimum level, helping the organization identify insights from a large number of diverse datasets.
This position reports to the Director, Enterprise Data Integration and Solution Architecture.
Principal Responsibilities and Tasks
The following statements are intended to describe the general nature and level of work being performed by people assigned to this classification. These are not to be construed as an exhaustive list of all job duties performed by personnel so classified.
- Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
- Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis.
- Gathers, analyzes, documents and translates application requirements into data models.
- Builds data models.
- Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies.
- Researches and proposes opportunities for data acquisition and new uses for existing data.
- Codes, tests, and documents new or modified data systems to create robust and scalable applications for analytics.
- Translates complex functional and technical requirements into detailed architecture, design and high performance software.
- Builds and architects next-generation Big Data analytics framework.
- Expands and grows data platform capabilities to solve new data problems and challenges.
- Creates data flow diagrams for business systems.
- Builds automation tools; ensures all automated processes preserve data by managing the alignment of data availability and integration processes.
- Performs technology and product research to better define requirements, resolve important issues and improve the overall capability of the technology stack.
- Contributes to the design and direction of enterprise-wide data architecture as well as design documentation deliverables.
- Supports standardization of documentation and the adoption of standards and practices related to data and applications.
- Develops Relational Data Models, Dimensional Data Models, Data Dictionary and Metadata.
- Develop data set processes for data mining and production.
- Working both independently and in collaboration with our data integration developers, data scientists, designs and builds high-performance algorithms, prototypes, predictive models and proof of concepts.
- Works closely with our developer team to integrate innovative algorithms into our production systems.
- Supports business decisions with ad hoc analysis as needed.
- Assesses and provides recommendations on business relevance, appropriate timing and deployment.
Work Experience
Education and Experience
- Bachelor’s Degree in Computer Science, Mathematics, Information Systems, Engineering, Physical Sciences, Life Sciences or closely related field or equivalent related professional experience is required. Additional certifications are preferred.
- Seven or more (7+) years’ experience designing, implementing and supporting systems in a large scale analytics or data engineering environment containing many disparate application systems and multiple data sources.
- Strong knowledge in programming or scripting languages (e.g., C/C++, Python, Ruby).
- Experience with agile or other rapid application development methods.
- Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures.
Knowledge, Skills and Abilities
- Knowledge of data analysis, end user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into technical solutions.
- Strong knowledge of and experience with statistics or advanced mathematics.
- Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases.
- Working knowledge of relational, document oriented or object oriented databases, such as PostgreSQL, Oracle, Cache, SQL, MongoDB.
- Deep knowledge in data mining, machine learning or natural language processing.
- Strong programming experience to clean and scrub noisy datasets; Experience building algorithms.
- Experience with Hortonworks or the Hadoop ecosystem in general, including HDSF and such tools as Spark, MapReduce, Pig and Hive. Experience with Ranger / Atlas and/or Falcon.
- Experience with various messaging systems, such as ActiveMQ or RabbitMQ.
- Experience with Big Data machine learning toolkits, such as Mahout, SparkML or TensorFlow.
- Must work well in a high-performance team environment.
- Capability to architect highly scalable distributed systems using non-proprietary tools.
- Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases.
Patient Safety
Ensures patient safety in the performance of job functions and through participation in hospital, department or unit patient safety initiatives.
- Takes action to correct observed risks to patient safety.
- Reports adverse events and near misses to appropriate management authority.
- Identifies possible risks in processes, procedures, devices and communicates the same to those in charge.
Benefits
All your information will be kept confidential according to EEO guidelines.
Compensation:
- Pay Range: $57.87 - $92.40
- Other Compensation (if applicable):
- Review the 2025-2026 UMMS Benefits Guide
Big Data Engineer Job Roles in Maryland
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Search Big Data Engineer Jobs in MarylandBig Data Engineer Jobs in Maryland: Frequently Asked Questions
Which companies in Maryland sponsor visas for big data engineers?
Maryland's strongest sponsoring employers for big data engineers include Leidos, Northrop Grumman, Booz Allen Hamilton, and SAIC, all of which operate large data and analytics practices in the Baltimore-Washington corridor. Health system operators like Johns Hopkins Medicine and the University of Maryland Medical System also file sponsorships, particularly for roles supporting clinical data infrastructure and research analytics pipelines.
Which visa types realistically apply to big data engineer roles in Maryland?
Big data engineer roles qualify as specialty occupations, making the H-1B visa the most common path. The H-1B requires a bachelor's degree in a directly related field such as computer science or data engineering, and is subject to an annual cap and selection process. Canadian and Mexican nationals may qualify under TN visa status as engineers. Singapore nationals may use the H-1B1 visa and Australian nationals the E-3 visa, both requiring a related specialty degree and an employer-filed Labor Condition Application.
Which cities in Maryland have the most big data engineer sponsorship jobs?
Bethesda and Rockville lead in sponsorship volume due to their concentration of federal contractors, biotech firms, and government-adjacent consultancies. Baltimore follows closely, driven by health systems, financial technology companies, and university-affiliated research centers. Columbia and Greenbelt also see meaningful activity, particularly from aerospace and defense employers with data-intensive programs tied to nearby federal facilities.
How to find big data engineer visa sponsorship jobs in Maryland?
Migrate Mate lists Maryland employers with verified sponsorship filing history for big data engineer roles, so you can focus on companies that have already demonstrated willingness to sponsor. Filtering by role and location surfaces active opportunities in cities like Bethesda, Baltimore, and Columbia without requiring manual research into employer filing records. This is especially useful for narrowing down defense contractors and health sector employers in Maryland who sponsor at meaningful volume.
Are there state-specific factors that affect big data engineer sponsorship in Maryland?
Maryland's proximity to federal agencies including NSA, NIH, and FDA creates concentrated demand for big data engineers with security clearance eligibility or life sciences backgrounds. Defense contractors in the state frequently sponsor H-1B petitions for roles tied to classified or regulated data systems. University pipelines from University of Maryland College Park and Johns Hopkins also generate a steady flow of international candidates entering Maryland's data engineering job market.
What is the prevailing wage for sponsored big data 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.