Data Engineer Visa Sponsorship Jobs in Maryland
Maryland's data engineering market is concentrated around the Baltimore-Washington corridor, with major employers including Leidos, Booz Allen Hamilton, Northrop Grumman, and the Johns Hopkins Health System driving consistent demand. Federal contractors and healthcare analytics firms regularly sponsor H-1B visas for qualified candidates. University of Maryland graduates also feed a strong local talent pipeline.
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Get Access To All JobsWhy Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Summary
Under minimal supervision, develops and maintains robust data solutions, reporting frameworks, dashboards, and visualizations that drive business insights and support strategic decision-making. Partners closely with business stakeholders, data engineers, architects, governance teams, and technology partners to translate business requirements into scalable analytical solutions.
This role is responsible for leading complex analytical initiatives, overseeing data preparation and governance activities, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decision making. The position supports a variety of business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management.
The ideal candidate combines advanced analytical expertise, strong business acumen, project leadership skills, and the ability to communicate insights and recommendations to both technical and non-technical audiences.
Key Responsibilities:
Data Strategy & Analytics:
- Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards.
- Manage complex data extraction, transformation, and validation processes to ensure data quality and accuracy.
- Serve as a subject matter expert across multiple business and data domains.
- Translate business problems into analytical approaches and actionable recommendations.
- Perform advanced statistical analysis, data mining, forecasting, and research to support business objectives.
- Develop innovative solutions to address complex business challenges and improve operational performance.
- Lead data exploration, proof-of-concept initiatives, and research efforts to evaluate emerging analytical methodologies.
Data Management & Governance:
- Oversee departmental data sources and ensure consistent application of data standards and governance practices.
- Validate, reconcile, and monitor data sources for reasonableness, completeness, and accuracy.
- Develop and maintain documentation including data definitions, business rules, technical specifications, and analytical methodologies.
- Identify, assess, and implement new data sources and technologies to improve analytics capabilities.
- Partner with Data Governance and Technology teams to support enterprise data initiatives.
Reporting & Business Intelligence:
- Oversee the development and maintenance of management reporting related to key business and operational metrics.
- Design and automate recurring reports, scorecards, and dashboards to improve efficiency and insight delivery.
- Analyze trends related to loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance.
- Present analytical findings and business recommendations to leadership and stakeholder groups.
Project Leadership:
- Lead cross-functional analytical projects from concept through implementation.
- Manage project plans, priorities, deliverables, and stakeholder communications.
- Drive execution of analytical initiatives supporting strategic business objectives and product enhancements.
- Coordinate with technology teams on system enhancements, data requirements, and testing activities.
- Support production implementation of analytical models and business solutions.
Process Improvement & Innovation:
- Automate and optimize existing processes to improve efficiency, scalability, and data quality.
- Research and evaluate emerging technologies, analytical techniques, and best practices.
- Identify opportunities to increase business value through advanced analytics and process innovation.
- Consult with business partners on analytical strategies, decision support, and performance improvement initiatives.
Mentorship & Knowledge Sharing:
- Provide guidance and technical leadership to junior analysts and team members.
- Review analytical work products and provide coaching to ensure quality and consistency.
- Develop and deliver training on analytical methods, tools, data interpretation, and business applications.
- Foster a culture of continuous learning and analytical excellence.
Qualifications
Education:
Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research, or a related quantitative field.
- Master's degree or PhD in a quantitative discipline.
- Minimum 9 years of analytical experience with a Bachelor's degree, OR
- Minimum 7 years of analytical experience with a Master's degree.
- Experience leading complex analytical projects and cross-functional initiatives.
- Experience working within insurance, financial services, or other highly data-driven environments preferred.
- Strong background supporting business functions such as Claims, Underwriting, Marketing, Product Management, or Pricing.
Technical Skills:
Required:
- Advanced SQL/SAS SQL proficiency.
- Experience with cloud-based data platforms and databases.
- Strong proficiency in R.
- Advanced Microsoft Excel skills, including: Pivot Tables, VLOOKUP/XLOOKUP, Charts and data visualization, Complex formulas and analysis.
- Experience creating analytical reports, dashboards, and data models.
- Ability to apply statistical, mathematical, and data mining techniques to solve business problems.
Preferred:
- Python programming experience.
- Experience with business intelligence and visualization tools (Power BI, Tableau, or similar).
- Experience with machine learning and predictive analytics.
- Familiarity with data governance and data quality frameworks.
Business Knowledge:
- Understanding of insurance products, rating methodologies, and insurance principles.
- Knowledge of Claims, Underwriting, Marketing, Agency Operations, or related insurance functions.
- Experience with project management, process improvement, and operational analytics.
- Strong ability to translate data insights into business recommendations.
Competencies:
- Strategic Thinking
- Analytical Problem Solving
- Project Leadership
- Stakeholder Management
- Data Storytelling and Communication
- Innovation and Continuous Improvement
- Collaboration and Influencing Skills
- Attention to Detail
- Mentoring and Team Development
Additional Requirements:
- Ability to work independently and collaboratively in a team environment.
- Ability to manage multiple priorities and competing deadlines.
- Ability to learn and apply complex technical, business, and operational concepts.
- Strong written and verbal communication skills.
- Ability to perform essential job functions with or without reasonable accommodation, including seeing, hearing, speaking, and using computer systems.
Annual Salary
$100,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Summary
Under minimal supervision, develops and maintains robust data solutions, reporting frameworks, dashboards, and visualizations that drive business insights and support strategic decision-making. Partners closely with business stakeholders, data engineers, architects, governance teams, and technology partners to translate business requirements into scalable analytical solutions.
This role is responsible for leading complex analytical initiatives, overseeing data preparation and governance activities, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decision making. The position supports a variety of business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management.
The ideal candidate combines advanced analytical expertise, strong business acumen, project leadership skills, and the ability to communicate insights and recommendations to both technical and non-technical audiences.
Key Responsibilities:
Data Strategy & Analytics:
- Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards.
- Manage complex data extraction, transformation, and validation processes to ensure data quality and accuracy.
- Serve as a subject matter expert across multiple business and data domains.
- Translate business problems into analytical approaches and actionable recommendations.
- Perform advanced statistical analysis, data mining, forecasting, and research to support business objectives.
- Develop innovative solutions to address complex business challenges and improve operational performance.
- Lead data exploration, proof-of-concept initiatives, and research efforts to evaluate emerging analytical methodologies.
Data Management & Governance:
- Oversee departmental data sources and ensure consistent application of data standards and governance practices.
- Validate, reconcile, and monitor data sources for reasonableness, completeness, and accuracy.
- Develop and maintain documentation including data definitions, business rules, technical specifications, and analytical methodologies.
- Identify, assess, and implement new data sources and technologies to improve analytics capabilities.
- Partner with Data Governance and Technology teams to support enterprise data initiatives.
Reporting & Business Intelligence:
- Oversee the development and maintenance of management reporting related to key business and operational metrics.
- Design and automate recurring reports, scorecards, and dashboards to improve efficiency and insight delivery.
- Analyze trends related to loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance.
- Present analytical findings and business recommendations to leadership and stakeholder groups.
Project Leadership:
- Lead cross-functional analytical projects from concept through implementation.
- Manage project plans, priorities, deliverables, and stakeholder communications.
- Drive execution of analytical initiatives supporting strategic business objectives and product enhancements.
- Coordinate with technology teams on system enhancements, data requirements, and testing activities.
- Support production implementation of analytical models and business solutions.
Process Improvement & Innovation:
- Automate and optimize existing processes to improve efficiency, scalability, and data quality.
- Research and evaluate emerging technologies, analytical techniques, and best practices.
- Identify opportunities to increase business value through advanced analytics and process innovation.
- Consult with business partners on analytical strategies, decision support, and performance improvement initiatives.
Mentorship & Knowledge Sharing:
- Provide guidance and technical leadership to junior analysts and team members.
- Review analytical work products and provide coaching to ensure quality and consistency.
- Develop and deliver training on analytical methods, tools, data interpretation, and business applications.
- Foster a culture of continuous learning and analytical excellence.
Qualifications
Education:
Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research, or a related quantitative field.
- Master's degree or PhD in a quantitative discipline.
- Minimum 9 years of analytical experience with a Bachelor's degree, OR
- Minimum 7 years of analytical experience with a Master's degree.
- Experience leading complex analytical projects and cross-functional initiatives.
- Experience working within insurance, financial services, or other highly data-driven environments preferred.
- Strong background supporting business functions such as Claims, Underwriting, Marketing, Product Management, or Pricing.
Technical Skills:
Required:
- Advanced SQL/SAS SQL proficiency.
- Experience with cloud-based data platforms and databases.
- Strong proficiency in R.
- Advanced Microsoft Excel skills, including: Pivot Tables, VLOOKUP/XLOOKUP, Charts and data visualization, Complex formulas and analysis.
- Experience creating analytical reports, dashboards, and data models.
- Ability to apply statistical, mathematical, and data mining techniques to solve business problems.
Preferred:
- Python programming experience.
- Experience with business intelligence and visualization tools (Power BI, Tableau, or similar).
- Experience with machine learning and predictive analytics.
- Familiarity with data governance and data quality frameworks.
Business Knowledge:
- Understanding of insurance products, rating methodologies, and insurance principles.
- Knowledge of Claims, Underwriting, Marketing, Agency Operations, or related insurance functions.
- Experience with project management, process improvement, and operational analytics.
- Strong ability to translate data insights into business recommendations.
Competencies:
- Strategic Thinking
- Analytical Problem Solving
- Project Leadership
- Stakeholder Management
- Data Storytelling and Communication
- Innovation and Continuous Improvement
- Collaboration and Influencing Skills
- Attention to Detail
- Mentoring and Team Development
Additional Requirements:
- Ability to work independently and collaboratively in a team environment.
- Ability to manage multiple priorities and competing deadlines.
- Ability to learn and apply complex technical, business, and operational concepts.
- Strong written and verbal communication skills.
- Ability to perform essential job functions with or without reasonable accommodation, including seeing, hearing, speaking, and using computer systems.
Annual Salary
$100,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Data Engineer Job Roles in Maryland
See all 80+ Data Engineer Jobs in Maryland
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Engineer Jobs in MarylandData Engineer Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data engineers in Maryland?
Federal contractors and defense technology firms are among the most active sponsors in Maryland, including Booz Allen Hamilton, Leidos, Northrop Grumman, and SAIC. Healthcare organizations such as Johns Hopkins Health System and CareFirst BlueCross BlueShield also sponsor data engineering roles. Government-adjacent technology firms headquartered in Bethesda, Rockville, and Columbia make up a significant share of H-1B filings for this role.
Which visa types are most common for data engineer roles in Maryland?
The H-1B is the most common visa category for data engineers in Maryland, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates already holding OPT or STEM OPT through universities like University of Maryland or Johns Hopkins are frequently transitioned to H-1B sponsorship by Maryland employers.
Which cities in Maryland have the most data engineer sponsorship jobs?
Bethesda and Rockville lead in sponsorship activity due to the high concentration of federal contractors and healthcare technology firms along the I-270 corridor. Baltimore is the second major hub, driven by Johns Hopkins, UMBC-affiliated employers, and financial services companies. Columbia and Greenbelt also have meaningful data engineering hiring, particularly from defense and cybersecurity-adjacent organizations near federal agencies.
How to find data engineer visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically for visa sponsorship, making it practical to search data engineer roles in Maryland without sorting through positions that don't offer sponsorship. You can filter by location and role to surface openings from federal contractors, healthcare systems, and tech firms actively hiring internationally. This is significantly more efficient than reviewing general-purpose job boards where sponsorship status is often unclear.
Are there any state-specific considerations for data engineers seeking sponsorship in Maryland?
Maryland's proximity to federal agencies including the NSA, FDA, and NIH means many data engineering roles require or strongly prefer security clearances, which are generally not accessible to non-citizens until permanent residency is established. This narrows the sponsorship pool somewhat, but commercially focused employers in Bethesda, Baltimore, and Columbia do hire internationally without clearance requirements. The DOL prevailing wage determinations for Maryland reflect the high cost of the DC metro area.
What is the prevailing wage for sponsored 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.