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Data Engineering Internship Jobs in Baltimore, MD

standvast

Senior Data Engineer

Columbia, MD · On-site

$105K - $142K/yr

You will be a member of our small data engineering team. This is a hands-on, build-oriented ... internship experience as a data engineer * Production experience with Databricks, Snowflake, or ...

STScI

Software Engineer, II

Baltimore, MD · On-site

$96K - $132K/yr

... data engineering, software engineering, data analytics, or a related technical role. Internship, research, academic, or personal project experience is encouraged. * Strong problem-solving skills ...

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Data Engineering Internship information

See Baltimore, MD salary details

$10

$19

$29

How much do data engineering internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data engineering internship in Baltimore, MD is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $20.77 per hour, depending on experience, location, and employer.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What are the most commonly searched types of Data Engineering jobs in Baltimore, MD?

The most popular types of Data Engineering jobs in Baltimore, MD are:

What are popular job titles related to Data Engineering Internship jobs in Baltimore, MD?

For Data Engineering Internship jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Data Engineering Internship jobs in Baltimore, MD look for?

The top searched job categories for Data Engineering Internship jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Data Engineering Internship jobs?

Cities near Baltimore, MD with the most Data Engineering Internship job openings:

Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,919 per year, or $19.2 per hour.

Data Engineering - Research Assistant

University of Maryland

College Park, MD • On-site

Full-time

Posted 9 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

265th of 629 rated colleges and universities

Job description

Job Description Summary
Organization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation's security, and are supported by a culture that values integrity, collaboration, and professional growth.
The Data Engineering Research Assistant [TW2.1]works directly with project teams to build and run Python-based data pipelines, prepare, load, and validate data in databases, and help implement search and retrieval components under the guidance of senior technical staff.
Physical Demands:
Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.
Licenses/ Certifications: N/A
Minimum Qualifications
Education:
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field from an accredited college or university.

Experience:
  • Professional or substantial project-based experience programming in Python.
  • Experience designing and implementing data pipelines or ETL/ELT jobs that read from one or more sources, transform data, and load into a database.
  • Hands-on experience with at least one database (document or relational), including schema design, writing queries, and validating loaded data.
  • Experience using Linux command-line tools and working in a Git-based workflow (branches and pull requests).
  • Experience writing and executing tests in Python (e.g., using Pytest).
  • Experience using Docker or similar containerization tools to run or troubleshoot applications.

Knowledge, Skills, and Abilities:
  • Ability to quickly internalize and work within modular codebases and design re-runnable, configurable jobs.
  • Conceptual understanding of embeddings and vector similarity search, or prior experience with information retrieval / NLP projects.
  • Familiarity with tools and technologies such as MongoDB, PostgreSQL, JSON Schema, Qdrant, pgvector, FAISS, or sentence-transformers (experience with some subset is acceptable).
  • Ability to build or confidently learn to build REST APIs with FastAPI or Flask, including basic authentication.
  • Strong analytical and problem-solving skills, including the ability to profile datasets, identify anomalies, and communicate implications clearly.
  • Strong written communication skills, including concise technical documentation and status reporting.
  • Demonstrated discipline and care when working with sensitive or controlled data; familiarity with data classification, provenance, and access-control concepts is a plus.
  • Ability to work both independently and collaboratively in a multidisciplinary research environment.
  • Skill in the use of Microsoft Office products.
  • Skill in troubleshooting system errors.
  • Ability to multi-task and prioritize assignments.
  • Ability to analyze situations and determine the best recourse for response.

Must be able to obtain a US security clearance. If selected, must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Final offer is contingent upon the candidate's ability to successfully obtain the necessary interim Secret security clearance, as determined by ARLIS, prior to commencing employment.
Additional Job Details
Preferences:
Experience:
  • Relevant technical certifications (e.g., cloud, database, or DevOps) are welcome but not required.
  • Experience contributing to a retrieval-augmented generation, search system, or similar information-retrieval project (academic, internship, or research).
  • Experience with Pytest or similar tools for testing Python code.
  • Experience using Docker or similar tools to run or troubleshoot applications.
  • Exposure to DevOps or CI/CD concepts (e.g., automated testing, basic deployment workflows).
  • Exposure to data classification, provenance, or access-control concepts in a research or operational context.
  • Comfort working independently and collaboratively in a fast-paced, evolving environment
  • Strong organizational skills and attention to detail
  • Active or eligible for a security clearance.

Required Application Materials: Cover Letter, Resume, List of References
Best Consideration Date: N/A
Posting Close Date: N/A
Open Until Filled: Yes
Department
VPR-Applied Research Lab for Intelligence & Security
Worker Sub-Type
Staff Contractual (C1) (Fixed Term)
Salary Range
$23-$50
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice
Resources
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