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Data Engineer Intern Jobs in Columbia, MD (NOW HIRING)

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Microcode summer intern engineers at Ambarella are ...

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2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

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

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 ...

Apply your knowledge of data structures, algorithms, and object-oriented programming to contribute ... Engineer with AI: Use AI coding tools as a learning and productivity multiplier-generating ...

Leidos is seeking a Transportation Engineering Lab Intern in McLean, VA to support lab operations ... Collecting and analyzing data from laboratory testing activities * Tracking and documenting the ...

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Civil Engineering Intern | Manassas, VA 100% Employee-Owned | Big-firm resources, local-team ... Data center, industrial, and logistics site development including Digital Realty and Dulles ...

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Data Engineer Intern information

See Columbia, MD salary details

$13

$25

$38

How much do data engineer intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data engineer intern in Columbia, MD is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.61 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 Columbia, MD?

The most popular types of Data Engineer jobs in Columbia, MD are:

What are popular job titles related to Data Engineer Intern jobs in Columbia, MD?

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

What job categories do people searching Data Engineer Intern jobs in Columbia, MD look for?

The top searched job categories for Data Engineer Intern jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Data Engineer Intern jobs?

Cities near Columbia, MD with the most Data Engineer Intern job openings:

Infographic showing various Data Engineer Intern job openings in Columbia, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,039 per year, or $25 per hour.

Year-Round Graduate Data Engineer Intern, DATA - R&S

Federal Reserve System

Washington, DC

Full-time, Part-time, Internship

Posted 29 days ago


Job description

Minimum Education
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board's Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board's internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.

The Data Architecture, Technology, and Analytics (DATA) section is seeking a graduate intern to support the advancement of key initiatives focused on modernizing the Research & Statistics Division's data environment. This role will provide hands-on experience with data engineering, data transformation, data pipelines, and storage while contributing to ongoing projects that enhance the division's ability to manage and leverage data effectively. The intern will contribute to a range of assignments, including structured data engineering projects and ad-hoc tasks, gaining practical insight into how modern data solutions are developed and implemented in a collaborative environment.

Specific projects/assignments may include:

         Developing data pipelines and machine learning-based analytical tools within an AWS environment.

         Designing and implementing data quality and automation solutions, including data validation processes, workflow automation, metadata management, and reusable scripts to improve the efficiency and reliability of data operations.

         Developing data visualization and analytical products using tools such as Python, SQL, and AWS services to support operational reporting, performance monitoring, and data-driven decision making. This may include creating dashboards, interactive reports, and analytical prototypes for staff.

Education Requirements

         Graduating August 2027 or later

         Currently pursuing a graduate degree in Computer Science, Information Management Systems, Data Analytics, or other related field of study.

Skills/Knowledge Required

         Graduate school level or equivalent Data Analytics background with AWS cloud experience.

         Strong quantitative skills, including programming experience in python, R and other scripting languages for processing numerical and unstructured data.

         Experience in creating complex regular expressions.

         Knowledge of AWS cloud

         Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools (e.g., Excel, Power Bl, python/R graphics lib).

         Excellent oral and written communication skills.

         Excellent organization skills.

Data Science, Data Engineering, Data Pipeline Development, Python and Database experience is preferred but not required.

This internship will be part-time during fall/spring semesters (no more than 20 hours per week) and full-time in the summer. The selected candidate will be required to be onsite at our offices in Washington, DC during the summer.

Required Documents: Resume; an unofficial transcript may be requested.

US Citizenship is required for all Board internships and applicants must be current students, graduating from their program August 2027 or later.