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Data Engineer Internship Jobs in Baltimore, MD (NOW HIRING)

standvast

Senior Data Engineer

Columbia, MD

$105K - $142K/yr

... internship experience as a data engineer * Production experience with Databricks, Snowflake, or BigQuery platforms * Senior-level experience with engineering practices (CI/CD, testing, monitoring ...

T2S Solutions

STEM Internship

Aberdeen, MD · On-site

$20/hr

This internship offers an exciting opportunity to apply academic knowledge to real-world challenges ... Responsibilities Project Support & Technical Assistance * Assist with engineering, data analysis ...

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

Data Engineer Internship information

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How much do data engineer internship jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data engineer internship in Baltimore, MD is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship position, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a Data Engineer Internship job?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a Data Engineer Internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Baltimore, MD? The most popular types of Data Engineer jobs in Baltimore, MD are:
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What job categories do people searching Data Engineer Internship jobs in Baltimore, MD look for? The top searched job categories for Data Engineer Internship jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Engineer Internship jobs? Cities near Baltimore, MD with the most Data Engineer Internship job openings:
Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $52,530 per year, or $25.3 per hour.

Senior Data Engineer

standvast

Columbia, MD

$105K - $142K/yr

Other

Re-posted 2 days ago

Job description

Who We Are Looking For

We are a build-first, cloud-first, remote-first engineering team. DevOps, CI/CD, and TDD are foundational assumptions. We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI tool, and AWS as our infrastructure. Most on the team come from a background in large distributed systems in a retail environment.

You will be a member of our small data engineering team. This is a hands-on, build-oriented technical role. We’re looking for an experienced technical contributor who is excellent at their craft and can also lead others by example. You will own your code here – you will be expected to build, operate, and maintain the structures, jobs, and integrations that you create. This is a fully remote role.

What You Will Do:

The essential functions include, but are are not limited to the following:

  • Be a sought-after technical partner who works with product managers and business teams to understand problems and propose solutions

  • Build high quality solutions that implement engineering best practices

  • Mentor junior data engineers and analysts, leading by example

  • Maintain high operational excellence, participating in the team on-call support rotation and constantly improving our systems

What Skills You Need (Required):

  • 5+ years of professional, non-internship experience as a data engineer

  • Production experience with Databricks, Snowflake, or BigQuery platforms

  • Senior-level experience with engineering practices (CI/CD, testing, monitoring, and metrics analysis)

  • Highly proficient in Spark, SQL, Python (will be tested)

  • Be able to travel to one of our warehouse locations 2-3 times per year

  • BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience

  • Authorized to work in the United States for any employer

  • Preferred: Experience setting up ML environments for data science experiments

  • Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of employment Visas at this time. 

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

  • Prolonged periods of sitting: The role requires working at a desk and using a computer for extended periods.

  • Manual dexterity: Frequent use of hands and fingers to handle or operate office equipment, such as keyboards, phones, and copiers.

  • Visual acuity: Ability to read documents, spreadsheets, and computer screens for prolonged periods.

  • Occasional standing, walking, and reaching: May be required to move about the office, retrieve files, or attend meetings.

  • Lifting and carrying: Ability to lift and carry items weighing up to 15 pounds (e.g., office supplies, documents).

  • Hearing and speaking: Clear and effective communication in person and via phone or virtual platforms.

  • Minimal physical exertion: The role primarily involves sedentary work, with occasional physical activity as needed.

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