AI Data Engineer Jobs in Maryland
AI Data Engineer jobs in Maryland are concentrated in the Baltimore metro, the Washington D.C. suburbs of Montgomery and Prince George's counties, and the Annapolis corridor, where federal agencies and defense contractors drive sustained demand for data pipeline, MLOps, and large-language-model infrastructure expertise. Employers with a lasting Maryland presence that regularly hire for this role include Leidos, Northrop Grumman, and the Johns Hopkins Applied Physics Laboratory. Openings range from mid-level engineers building cloud-native data platforms to senior architects overseeing AI/ML workflows at scale. Scan the live roles below and apply to whichever ones fit.
Find AI Data Engineer JobsOverview
Showing 5 of 41+ AI Data Engineer jobs




About JLG, an Oshkosh company
JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.
The Data Analytics and AI Intern will work alongside cross-functional teams to support the development, deployment, and enhancement of data-driven solutions using analytics and artificial intelligence. This hands-on internship will expose the candidate to real-world projects involving data modeling, machine learning, business intelligence, and operational optimization.
This role is ideal for students who are passionate about solving business problems through data and emerging technologies like AI, ML, and predictive analytics.
YOUR IMPACT
These duties are not meant to be all-inclusive and other duties may be assigned.
1. Data Collection & Preparation
Assist with data wrangling, cleaning, and transformation across multiple structured and unstructured data sources.
Collaborate with data engineers to validate data integrity and availability for analytical use.
2. Analytics & Visualization
Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
Build dashboards and reports using tools such as Power BI, Tableau, or Python libraries.
3. AI & Machine Learning Projects
Support development of machine learning models for use cases such as predictive maintenance, quality forecasting, supply chain optimization, and anomaly detection.
Assist in training, validating, and testing models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
4. Business Collaboration & Insights
Translate business questions into data problems and help derive actionable insights.
Present findings to technical and non-technical stakeholders using clear visuals and storytelling.
5. Research & Innovation
Stay updated on AI/ML trends, tools, and techniques and provide recommendations for adoption.
Conduct literature reviews or benchmarking studies to support internal innovation initiatives.
MINIMUM QUALIFICATIONS
Student working towards a bachelor’s in Supply Chain Management, Business, Information Technology, Engineering, or related field.
STANDOUT QUALIFICATIONS
Proficiency in Microsoft Office Suite; knowledge of data analysis tools (Excel, Power BI, Tableau); familiarity with ERP systems, AI, VBA, and/or Python is a plus.
Strong analytical and problem-solving skills with an ability to translate data into actionable insights.
Excellent verbal and written communication skills
WORKING CONDITIONS
The following represents general working conditions for this office-based role. Specific conditions may vary depending on business needs and individual circumstances.
This role is primarily performed in a professional office environment with standard lighting, ventilation, and temperature-controlled settings.
Duties are largely sedentary, requiring extended periods of sitting and using a computer and telephone.
Visual acuity to operate a computer and read documents is required, along with auditory ability to participate in virtual and in-person meetings.
Occasional movement within the office environment is necessary, including walking short distances, standing, or reaching for files.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role.
Pay Range:
$18.00 - $37.00The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.
See All 41 AI Data Engineer Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
AI Data Engineer Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring
- Johns Hopkins University Applied Physics Laboratory10

- Johns Hopkins University7

- Leidos3

- RealmOne3

- Axle2

Top Industries Hiring
- Education
- Technology & Software
What Maryland Employers Look For
The qualifications that appear most often in AI data engineer jobs across Maryland.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Hands-on experience building and maintaining data pipelines using Apache Spark or similar frameworks
- Proficiency in Python and SQL for data transformation, modeling, and automation tasks
- Experience deploying and managing data infrastructure on AWS, Azure, or Google Cloud Platform
- Familiarity with MLOps practices including model versioning, monitoring, and CI/CD for ML workflows
- Active or obtainable U.S. government security clearance, required by many Maryland federal contractors
AI Data Engineer Jobs in Maryland: Frequently Asked Questions
How do you become an ai data engineer in Maryland?
Most Maryland employers expect a bachelor's degree in computer science, information systems, or a related field as the foundation. There is no state-issued license specific to ai data engineering in Maryland, so the hiring path runs through demonstrated technical skills: proficiency in cloud platforms, data pipeline tools, and machine learning frameworks. A portfolio of deployed projects or a recognized cloud certification from AWS, Microsoft Azure, or Google strengthens a candidate considerably in this market.
How much do AI data engineers make in Maryland?
AI data engineers in Maryland earn a median of about $136,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,930 for the lowest 10% to over $213,270 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Maryland?
Employers hiring ai data engineers in Maryland right now include Johns Hopkins University Applied Physics Laboratory, Johns Hopkins University, and Leidos, based on current listings on Migrate Mate as of September 2026. Maryland's heavy concentration of federal contractors and government-adjacent technology firms means many of these roles also require or prefer candidates eligible for a security clearance.
Which Maryland cities have the most ai data engineer jobs?
The cities with the most ai data engineer openings in Maryland are Laurel, Baltimore, and Bethesda. The distribution reflects the density of federal agencies, defense contractors, and research institutions anchored in the Baltimore-to-D.C. corridor, with suburban hubs like Bethesda and Columbia drawing additional demand from health IT and government services firms headquartered there.
Are there remote ai data engineer jobs in Maryland?
Yes, and more than most fields. About 82% of ai data engineer openings tied to Maryland are remote or hybrid as of September 2026, reflecting how naturally the work suits distributed environments. The most remote-compatible parts of the role are data pipeline development, cloud infrastructure work, and model experimentation, while positions requiring access to classified systems or on-site federal facilities tend to be fully in-person.
How can I get hired as an ai data engineer in Maryland with little or no experience?
The most realistic entry path is moving laterally from a data analyst or data analyst role while building an independent project portfolio that demonstrates pipeline and ML workflow skills. Maryland's large federal contractors, including Leidos and Northrop Grumman, and institutions like the Johns Hopkins Applied Physics Laboratory periodically run new-graduate associate programs that serve as structured entry points. Earning a cloud data engineering certification and contributing to open-source data projects makes a candidate credible even without direct job history in the title.
Where can I find and apply to ai data engineer jobs in Maryland?
You can find and apply to ai data engineer jobs in Maryland on Migrate Mate, which lists current Maryland openings updated regularly. Search the roles available, find the ones that match your background and preferences, and apply directly to the employers posting them.
See All 41 AI Data Engineer Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs