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Data Engineer Intern Jobs in Maryland (NOW HIRING)

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Document methodologies and findings for stakeholders Data Engineering Intern * Support development and maintenance of data pipelines * Assist with data ingestion, transformation, and integration ...

HCI

AI Developer Fall Intern

Ellicott City, MD · On-site

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity. This position is ... Strong computer science fundamentals , including software design, data structures, algorithms ...

IDEX Corporation

Engineering Intern

Linthicum, MD · On-site

$16.50 - $21.50/hr

Support the Engineering and Sales teams by enhancing technical sales data through the creation of sizing and application guides, simulation tools, and visual materials. The intern will contribute to ...

IDEX

Engineering Intern

Linthicum, MD

$16.50 - $21.50/hr

Support the Engineering and Sales teams by enhancing technical sales data through the creation of sizing and application guides, simulation tools, and visual materials. The intern will contribute to ...

HCI

AI Fall Intern

Ellicott City, MD

$30 - $40/hr

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity What We're Looking ... Strong computer science fundamentals , including software design, data structures, algorithms ...

Peraton

Integrated Logistics (ILS) Engineer

Bethesda, MD · On-site

$86K - $138K/yr

Experience with Configuration Tech Data Manager(CTDM) role in Model Based Product Support(MBPS ... Required Registrations(Min. 1): Engineer Intern(EI), Engineer in Training(EIT), license as a ...

RK&K

Engineer I - Rail/Transit

Baltimore, MD · Hybrid

$38 - $42.50/hr

Perform field investigations to collect data including field measurements, photographs, sketches ... Registered Engineer Intern (E.I.) or the ability to obtain within 6 months of hire Other Duties ...

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How much do data engineer intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data engineer intern in Maryland is $24.67, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $27.98 per hour, depending on experience, location, and employer.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What is the difference between Data Engineer Intern vs Data Analyst Intern?

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What are the most commonly searched types of Data Engineer jobs in Maryland?

The most popular types of Data Engineer jobs in Maryland are:

What are popular job titles related to Data Engineer Intern jobs in Maryland?

For Data Engineer Intern jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Engineer Intern jobs in Maryland look for?

The top searched job categories for Data Engineer Intern jobs in Maryland are:

What cities in Maryland are hiring for Data Engineer Intern jobs?

Cities in Maryland with the most Data Engineer Intern job openings:

Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,309 per year, or $24.7 per hour.

Data Scientist & Machine Learning Engineer Intern

DMS International

Silver Spring, MD • On-site, Remote

Part-time, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Data Management Services, Inc. (DMS International) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique, and engaging learning experiences for commercial, civilian and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers.
At DMS, we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:
  • Quality in delivering solutions
  • Leadership
  • Teamwork
  • Innovation
  • Integrity in conduct
  • Responsiveness to our customer's mission.

DMS International is an Equal Opportunity Employer. We make employment decisions without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. We encourage individuals from all backgrounds to apply.
Job Description
DMS is seeking a Data Scientist & Machine Learning Engineer Intern to join our technical team. The intern will support the design, development, testing, and implementation of AI-powered products for content creation, learning, training, simulations, and decision support. Working under the supervision of the AI and Simulation Program Manager, the intern will collaborate with developers, instructional designers, simulation specialists, and subject matter experts to transform data and emerging AI technologies into practical applications.
Responsibilities
  • Support the development of Generative AI and Large Language Model (LLM) applications, including prompt engineering and Retrieval-Augmented Generation (RAG)
  • Develop AI capabilities for transforming source documents into courses, learning content, assessments, scenarios, case studies, and other digital content
  • Assist in developing AI-powered simulations and serious games, including dynamic scenarios, intelligent agents, participant analytics, and after-action reports
  • Collect, clean, analyze, and visualize structured and unstructured data
  • Develop natural language processing (NLP) solutions for document summarization, semantic search, classification, information extraction, and question answering
  • Build prototypes and integrate AI/ML models with applications through APIs and cloud services
  • Conduct model testing and evaluation for performance, accuracy, reliability, bias, and hallucinations
  • Support responsible AI practices, model documentation, data governance, and AI risk management
  • Develop, train, test, and evaluate machine learning and predictive models
  • Research emerging technologies such as agentic AI, multimodal AI, synthetic data, digital twins, knowledge graphs, and adaptive learning

Required Skills & Experience
  • Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, and/or TensorFlow
  • Knowledge of Generative AI concepts, LLMs, prompt engineering, embeddings, RAG, and/or Hugging Face
  • Familiarity with REST APIs, Git/GitHub, and basic application development
  • Knowledge of statistical analysis, data visualization, and predictive modeling
  • Strong analytical and problem-solving skills
  • Curiosity about emerging AI technologies and willingness to experiment and learn
  • Ability to work independently and collaboratively within a multidisciplinary team
  • Experience through academic projects, research, hackathons, personal projects, or internships involving machine learning, Generative AI, NLP, simulations, analytics, or AI application development is preferred
  • GitHub portfolio or examples of AI/ML projects are encouraged
  • Experience or coursework in Python, SQL, Pandas, NumPy, and Jupyter Notebook
  • Exposure to OpenAI, Azure OpenAI, IBM watsonx, AWS/GCP AI services, LangChain, LlamaIndex, vector databases, FastAPI, Django, Flask, or Docker is a plus.

Education
  • Currently pursuing or recently completed a Bachelor's, Master's, or doctoral degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Statistics, Applied Mathematics, Computer or Software Engineering, Information Systems, Operations Research, or a related quantitative or technical field

Position Type
  • Part-time Intern

Location
  • Remote

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