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Part Time Internship Data Engineer Jobs (NOW HIRING)

T3i, Inc.

Data Engineer

San Antonio, TX

$103K - $124K/yr

The Data Engineer supports T3i's Integrated Analytics effort by designing, developing, and ... part time, and independent contractor) and annual random drug screening for all current T3i ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA

$62K - $141K/yr

Data Engineer The Opportunity: Are you a data professional ready to join a dynamic team cracking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Wharton, NJ · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

San Diego, CA

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Internship Data Engineer information

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How much do part time internship data engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for part time internship data engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Part Time Internship Data Engineer vs Part Time Internship Data Analyst?

AspectPart Time Internship Data EngineerPart Time Internship Data Analyst
Required CredentialsBasic programming, SQL, data modelingStatistical knowledge, Excel, SQL
Work EnvironmentData pipelines, database managementData interpretation, reporting
Industry UsageTech, finance, e-commerceMarketing, finance, healthcare

Both roles often require SQL and basic data skills, but Data Engineers focus on building data infrastructure, while Data Analysts interpret data for insights. Interns in both positions gain valuable industry experience, but their daily tasks differ based on their focus area.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms provide opportunities in areas such as audit, consulting, advisory, and data analysis, often requiring strong analytical skills and relevant coursework. Internships at these firms are highly competitive and valuable for those pursuing careers in finance, consulting, or data engineering.

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 augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

Is a 3.0 GPA good for internships?

For a part-time data engineering internship, a 3.0 GPA is generally considered acceptable, especially if complemented by relevant skills such as programming, data analysis, and familiarity with tools like SQL or Python. While some competitive internships may prefer higher GPAs, employers also value practical experience, projects, and technical proficiency.

Is 20 an hour good for an internship?

For a data engineering internship, $20 an hour is generally considered competitive, especially for entry-level or part-time roles. Internships often pay between minimum wage and $25 per hour, depending on location, company, and required skills such as SQL, Python, or cloud platforms. Factors like industry standards and the internship's responsibilities can influence whether this rate is appropriate.
What cities are hiring for Part Time Internship Data Engineer jobs? Cities with the most Part Time Internship Data Engineer job openings:
What are the most commonly searched types of Part Time Data Engineer jobs? The most popular types of Part Time Data Engineer jobs are:
Part Time Internship Data Engineer jobs near you
Data Engineer / Data Platform Engineer Internship Fall 2026 Semester at the Dow Delivery Center a...

Data Engineer / Data Platform Engineer Internship Fall 2026 Semester at the Dow Delivery Center a...

Dow

Champaign, IL • On-site

Part-time

Posted 8 days ago

Dow rating

8.9

Company rating: 8.9 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

6th of 90 rated chemical manufacturers

Job description

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet.
Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place.
Dow has part-time Data Engineering and Data Platform Engineering internship opportunities within Dow's Enterprise Data & Analytics organization.
This position is an in-person, part-time (15-20 hours per week) internship role based out of Champaign, IL at the Dow Delivery Center at UIUC (University of Illinois Urbana Champaign) in Research Park. Individuals who are within one to three years of graduation and are currently enrolled at the University of Illinois Urbana Champaign working towards a Bachelor's or Master's degree in a related technical field are encouraged to apply. The duration of the internship is typically 12-14 weeks during the fall academic semester.
As a Data Engineer Intern, you will focus on the ingestion, persistence, and curation of data as defined by specific projects. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities.
The Data Engineer Intern will work closely with a multi-disciplinary team to:
  • Create data pipelines for projects in the Azure environment.
  • Design, develop, test, and implement analytics. This includes the curation and ingestion of data from different source systems, driving end-to-end data flow for multiple solutions.
  • Identify opportunities for innovating with digital capabilities aiming to accelerate Dow's digital transformation.

As a Data Platform Engineer Intern, you will work with a multi-disciplinary IT expert team of analysts, engineers, developers, and support team members to create and maintain Azure cloud-based data and AI solutions. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities which may include:
  • Develop and implement Azure cloud-based solutions for data and AI, ensuring they meet the organization's requirements and standards. This includes utilizing tools like Azure Data Factory, Azure SQL, Azure OpenAI, Azure Function Apps, Azure Logic Apps, and Azure Databricks.
  • Maintain and monitor existing Azure infrastructure and workloads to ensure optimal performance, reliability, and scalability. Any failures or enhancements to be fixed with infrastructure as code tools such as ARM, Bicep and Terraform within Azure DevOps.
  • Ensure the security of Azure applications and infrastructure by implementing best practices and security measures with Role Based Access Controls, and authentication using Service Principals and Managed Identities from Entra as an Identity Provider.
  • Perform troubleshooting and root cause analysis for infrastructure issues to ensure minimal downtime and quick resolution.
  • Work closely with developers and senior employees to implement continuous delivery systems and methodologies on Azure. Designs that are created will be implemented following the best practices during sprints as part of the Agile methodology.
  • Document best practices, workflow, and strategies regarding solutions, knowledge transfer, and infrastructure maintenance in DevOps Wiki.

Qualifications
Required:
  • Must be currently enrolled at the University of Illinois Urbana Champaign.
  • Must be working towards a Bachelor's or Master's degree in a related technical field.
  • Must be within one to three years of graduation.
  • A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process.

Preferred:
  • A GPA of 3.0 or higher.
  • A degree discipline in Computer Science, Computer Information Systems, or other Engineering Disciplines
  • Experience with cloud platforms such as AWS, GCP or Azure.
  • Familiarity with cloud-based data lakehouse platforms such as Databricks or Snowflake
  • Familiarity with Python, Scala, and SQL programming languages as well as scripting languages like PowerShell
  • Experience with structured/semi-/non-structured databases, data ingestion, and data modeling.
  • Multi-application and cross-platform design experience.
  • Proficiency in data visualization tools like Microsoft Power BI.
  • Knowledge of Agile Methodology, Scrum, or Kanban methodologies.
  • Knowledge of version control systems and code review practices.

Skills
  • Technical Proficiency: Background in computer science, computer information systems, or other engineering disciplines. Familiarity with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. Familiarity with Python, Scala, and SQL programming languages. For Data Platform Engineering specifically, familiarity with Python, Scala, and SQL programming languages as well as scripting languages like PowerShell. Experience with structured/semi-/non-structured databases, data ingestion, and data modeling.
  • Problem-Solving Skills: Effectively troubleshoot and resolve issues.
  • Collaboration and Communication: Works well with cross-functional teams and communicates effectively (spoken and written).
  • Security and Compliance: Familiarity with security and compliance best practices and standards.
  • Innovation and Improvement: Continuously seeks opportunities to improve existing processes and implement new technologies.
  • Documentation and Reporting: Maintains thorough documentation of processes, solutions, and best practices.
  • Time Management & Organizational Skills: Ability to manage your own work effort with little supervision.

Additional notes
  • This position does not offer relocation or housing assistance.
  • Must have access to public transportation or have personal/reliable transportation during the work term to complete internship shifts in-person at the Dow Delivery Center at UIUC.
  • For positions based in Illinois, Dow is required by law to include the pay scale that is reasonably expected to represent the pay range for the position. This pay range is specific to the State of Illinois and accounts for both new and experienced employees with consideration to factors including but not limited to skillset, experience, and sustained job performance (or similar jobs). A reasonable pay range for this position is: Bachelors: $25.72-$34.28 per hour; Masters: $36.35-$38.41 per hour

About Dow
Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com.
As part of our dedication to inclusion, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on www.dow.com.
Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

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