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Internship Data Integration Jobs (NOW HIRING)

Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms * Working knowledge ...

Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms * Working knowledge ...

Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms * Working knowledge ...

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in ... This role offers exposure to database design, data integration, and modern cloud platforms. The ...

Junior Integration Developer

Guaynabo, PR · On-site

$67.10K - $87.10K/yr

Working knowledge of Python and SQL (internships, academic projects, or entry-level experience acceptable) * Basic understanding of REST APIs and data integration concepts * Exposure to cloud ...

Junior Integration Developer

Guaynabo, PR

$67.10K - $87.10K/yr

Working knowledge of Python and SQL (internships, academic projects, or entry-level experience acceptable) * Basic understanding of REST APIs and data integration concepts * Exposure to cloud ...

Hillpointe is a fully integrated real estate development and investment management firm focused on ... Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in ...

Hillpointe is a fully integrated real estate development and investment management firm focused on ... Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in ...

Hillpointe is a fully integrated real estate development and investment management firm focused on ... Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in ...

Data Architect

Pontiac, MI · On-site +1

$40 - $60/hr

Internships * Offices ( * LRS Offices * Contact ( * News Global NavigationEmployee Login ( File ... Evaluate, recommend, and help implement modern ETL and data integration technologies. * Develop and ...

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$84

How much do internship data integration jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for internship data integration in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Integration, and why are they important?

To thrive as an Internship Data Integration, you typically need a foundation in computer science, data management concepts, and familiarity with databases or data warehousing. Experience with ETL tools, SQL, and sometimes cloud platforms like AWS or Azure, as well as knowledge of data integration software, is often expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These competencies enable successful integration of diverse data sources, ensuring data quality and supporting business intelligence initiatives.

What types of projects and responsibilities can I expect during a Data Integration internship?

As a Data Integration intern, you can expect to work on projects that involve collecting, transforming, and combining data from multiple sources into a unified format for analysis or system integration. Typical responsibilities include assisting with ETL (Extract, Transform, Load) processes, developing data pipelines, and supporting senior team members in troubleshooting data flow issues. You may also participate in meetings with cross-functional teams, such as data engineering and business intelligence, to ensure alignment on data requirements. This role offers hands-on experience with industry-standard tools and exposure to best practices in data management, making it a valuable stepping stone toward a career in data engineering or analytics.

What are Internship Data Integration roles?

Internship Data Integration roles involve assisting organizations in combining data from different sources into a unified system for analysis and reporting. Interns in this field typically work with data extraction, transformation, and loading (ETL) processes under the guidance of experienced data engineers or analysts. They may help clean, map, and validate data to ensure consistency and accuracy. These internships provide valuable hands-on experience with data management tools and software, and offer insights into how organizations leverage data for business intelligence.

What is the difference between Internship Data Integration vs Data Analyst?

AspectInternship Data IntegrationData Analyst
Required CredentialsRelevant coursework, basic technical skillsBachelor's degree in related field, technical proficiency
Work EnvironmentInternship setting, entry-level projectsFull-time, professional environment with ongoing projects
Employer & Industry UsageUsed in tech, finance, healthcare for trainingUsed across industries for data interpretation and reporting
Common Search & ComparisonOften compared for entry-level roles and trainingCompared for experienced roles in data analysis

Internship Data Integration focuses on entry-level, training-oriented tasks involving basic data merging and system familiarity. Data Analysts handle more complex data interpretation, reporting, and decision-making. Internships serve as a stepping stone toward becoming a full Data Analyst, with overlapping skills but differing in scope and experience level.

More about Internship Data Integration jobs
What cities are hiring for Internship Data Integration jobs? Cities with the most Internship Data Integration job openings:
What are the most commonly searched types of Data Integration jobs? The most popular types of Data Integration jobs are:
What states have the most Internship Data Integration jobs? States with the most job openings for Internship Data Integration jobs include:
Infographic showing various Internship Data Integration job openings in the United States as of May 2026, with employment types broken down into 21% Internship, 58% Full Time, 14% Part Time, and 7% Temporary. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.
Data Engineer Intern

Data Engineer Intern

Americhem

Concord, NC • On-site

Other

Posted 6 days ago


Americhem rating

9.0

Company rating: 9.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

1st of 78 rated plastic manufacturers


Job description

Position Summary:

We are seeking a motivated and detail-oriented Data Engineer Intern to support the design, preparation, integration, and improvement of enterprise data assets. This role is ideal for a candidate who is currently pursuing an Associate’s, Bachelor’s, or Master’s degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or a related field, or who has completed such a degree within the last year. The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality practices. This is a hands-on learning opportunity for someone who wants to build practical experience in databases, SQL, data transformation, and modern ETL/ELT processes.

Position Requirements/Preferred Qualifications:

Education:

  • Currently pursuing or completed within the last 12 months an Associate’s, Bachelor’s, or master’s degree in computer science, Information Technology, Information Systems, Data Engineering, Data Analytics, Software Engineering, or a related field

Experience:

  • Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms
  • Working knowledge of relational databases, data structures, and data modeling fundamentals
  • Ability to write and understand SQL queries for data extraction, transformation, validation, and analysis
  • Exposure to ETL/ELT concepts and frameworks through coursework, labs, bootcamps, or projects
  • Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is preferred (for example, Azure Data Factory, Microsoft Fabric, IBM DataStage, AWS Glue, or related services)
  • Knowledge of reporting, dashboards, scripting, or data warehouse concepts is a plus

Skills:

  • Strong analytical, problem-solving, and organizational skills
  • Strong verbal and written communication skills, with the ability to explain technical concepts.
  • Attention to detail and commitment to data accuracy, consistency, and documentation
  • Collaborative mindset with the ability to work effectively across technical and business teams

Essential Duties:

  • Assist in collecting, profiling, cleansing, and validating data from enterprise systems and other internal or external sources
  • Support the development, testing, and maintenance of SQL queries, data transformations, and data integration workflows
  • Participate in ETL/ELT activities to move and prepare data for reporting, analytics, and operational use
  • Work with analysts, developers, and business stakeholders to understand data requirements and support scalable solutions
  • Assist with data loading, integration, and pipeline activities using modern platforms and tools, including Microsoft, IBM, or AWS technologies where applicable
  • Create and maintain documentation for data sources, field definitions, mappings, transformations, and process flows
  • Support reporting, dashboarding, and basic data analysis needs by preparing trusted datasets and validating outputs

Desired Qualities/Attributes

  • Curiosity about data, technology, and how information can improve business decisions.
  • Detail-oriented approach with a strong focus on accuracy, completeness, and repeatable processes.
  • Willingness to learn data engineering concepts, tools, and best practices in a fast-paced environment.
  • Ability to work independently on assigned tasks while also collaborating effectively with mentors and teammates.
  • Commitment to documentation, continuous improvement, and delivering reliable results.

Safety Compliance

The safety of our employees takes precedence over all other initiatives and considerations. All employees are required to comply with established safety protocols as outlined in our policies, procedures, and corporate communications. All employees are responsible for complying with the most current safety practices as communicated by the Company.


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