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Data Engineering Internship Jobs in Springfield, MO

Danaher

Digital Analyst Internships

Springfield, MO · On-site

$89K - $106K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Bass Pro Shops

Product Test Engineer

Springfield, MO · On-site

... engineering, and manufacturing teams to test, analyze, and make data driven interpretations for ... Two years or more in related field, Internship / Co-op experience. * Must possess and maintain a ...

All JobsData Engineering Internship JobsData Engineering Internship Jobs in Springfield, MO

Data Engineering Internship information

See Springfield, MO salary details

$10

$17

$26

How much do data engineering internship jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data engineering internship in Springfield, MO is $17.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $19.04 per hour, depending on experience, location, and employer.

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, and why are they important?

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.

Do CS interns get paid?

Data engineering internships typically offer paid positions, with compensation varying by company, location, and internship duration. Many internships also provide valuable experience working with tools like SQL, Python, and cloud platforms. However, some unpaid internships exist, so it is important to verify the specific internship's compensation details before applying.

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.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on complex problem-solving, system architecture, and ensuring data quality. Skills in programming, cloud platforms, and data management remain essential for the role.

How hard is it to get an internship in data science?

Securing a data engineering internship can be competitive, often requiring a strong foundation in programming languages like Python or SQL, understanding of data pipelines, and relevant coursework or projects. Candidates with prior experience, certifications, or familiarity with tools such as Apache Spark or cloud platforms tend to have better chances. Demonstrating problem-solving skills and a willingness to learn are also important factors in the application process.

What is a data engineering internship?

A data engineering internship is a temporary position where interns assist in designing, building, and maintaining data pipelines and infrastructure. It typically involves working with tools like SQL, Python, and cloud platforms, and provides hands-on experience in managing large datasets and supporting data-driven projects.
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Data Engineering Internship jobs near you
Business Intelligence UWEP Internship - Fall 2025

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Springfield, MO • On-site

$14.25 - $18/hr

Other

Posted 5 days ago

Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only  Semester: Fall 2025 Location: Remote 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions. 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelor’s or master’s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required. 
  • Positive attitude and strong work ethic are a must. Must have a “team-first” mentality with an eagerness to learn. 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency. 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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