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Data Engineering Internship Jobs in Baltimore, MD

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

This internship is designed to provide you with valuable real-world experience in a supportive and ... programming skills in languages such as Python, Java, C++, or similar. * Familiarity with data ...

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

This internship is designed to provide you with valuable real-world experience in a supportive and ... programming skills in languages such as Python, Java, C++, or similar. * Familiarity with data ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

This internship is designed to provide you with valuable real-world experience in a supportive and ... programming skills in languages such as Python, Java, C++, or similar. * Familiarity with data ...

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All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in Baltimore, MD

Data Engineering Internship information

See Baltimore, MD salary details

$10

$19

$29

How much do data engineering internship jobs pay per hour?

As of Aug 22, 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.

AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

IntelliGenesis LLC

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Job description

AI/Data Science Training Manager/Curriculum Developer (DoW SkillBridge - Cybersecurity, Data Science, and Artificial Intelligence Focus)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. More information can be found here: https://skillbridge.osd.mil/index.htm
Eligibility Requirements:
  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship
Duration:
  • 90-180 days
Position Overview:
As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You'll work closely with subject matter experts (SMEs), instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Position Requirements:
  • Must be a US Citizen
  • Active TS/SCI clearance/polygraph required
  • Must be able to report daily to Columbia, MD office
  • Strong understanding of IC mission, tools, and workflows
  • Experience in developing, modernizing, or delivering technical training
  • Familiarity with curriculum development methodologies and instructional systems design (ISD) principles
Minimum six (6) years of experience in one or more of the following fields:
  • Data Science / Data Analytics
  • Machine Learning / Artificial Intelligence
  • Signals Analysis
  • SIGINT Metadata Analysis
  • Cyber Threat Intelligence
  • Target Digital Network Analysis
  • Digital Network Exploitation Analysis
  • Malware Analysis
  • Cloud-based Data Pipelines
  • Conducting Network Vulnerability Assessments
Ideal Candidates Come From the Following Military Occupational Skill Communities:
  • Air Force: 1N4, 3D0, 3D1
  • Marine Corps: 2611, 2629, 1721
  • Army: 17C, 170A, 35N, 352N
  • Navy: CTN, CTR, IW Officers
Desired Training or Certifications:
  • Master Training Specialist (MTS)
  • Common Faculty Development-Instructor Course (CFD-IC)
  • Army Basic Instructor Course (ABIC)
  • Air Force Basic Instructor Course (BIC)
  • Adjunct Faculty (ADET, NCS, NCU)
  • AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
  • Data Science Bootcamps or equivalent experience
Bonus Experience:
  • Familiarity with Jupyter Notebooks, Python, R, or SQL
  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
  • Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)
This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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