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Data Engineering Intern Jobs in Manchester, CT (NOW HIRING)

Sr. Plant Director

Bloomfield, CT · On-site

$225K - $315K/yr

Makes data driven decisions and develops sustainable solutions * Skilled in reducing costs and ... Bachelor's Degree in Business Administration, Engineering or other related field * Preferred:

Showing results 41-43

Data Engineering Intern information

See Manchester, CT salary details

$11

$19

$29

How much do data engineering intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data engineering intern in Manchester, CT is $19.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.11 per hour, depending on experience, location, and employer.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

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 foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What cities near Manchester, CT are hiring for Data Engineering Intern jobs? Cities near Manchester, CT with the most Data Engineering Intern job openings:
Infographic showing various Data Engineering Intern job openings in Manchester, CT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,576 per year, or $19.5 per hour.

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Springfield, MA • On-site

$15.75 - $19.75/hr

Other

Re-posted 20 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.