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Data Warehouse Intern Jobs (NOW HIRING)

Data Engineer Co-Op

Boston, MA · On-site

$30 - $34/hr

CO-OP/Intern Cycle: January 2027 - June 2027 Anticipated Start & End Date: January 4, 2027 - June ... warehouse. RESPONSIBILITIES: Designing, implementing, maintaining and scaling the Audax data ...

Data Engineer CO-OP

Boston, MA · On-site

$30 - $34/hr

CO-OP/Intern Cycle: January - June 2027 Anticipated Start & End Date: January 4, 2027 - June 25 ... warehouse. RESPONSIBILITIES: Designing, implementing, maintaining and scaling the Audax data ...

We have built out a large data collection platform, with our data warehouse storing over 100m rows of data for accurate credit scoring. Umba is looking for an Operations Intern to join our team. We ...

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Data Warehouse Intern information

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$46K

$165K

$243.5K

How much do data warehouse intern jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data warehouse intern in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data warehouse intern do?

A Data Warehouse Intern assists in the development, maintenance, and management of data warehouse systems. They help with tasks such as data extraction, transformation, and loading (ETL), as well as ensuring data quality and accuracy. The internship often involves working with databases, writing queries, and collaborating with data analysts or engineers to support business intelligence initiatives. This role provides hands-on experience with data management tools and processes, giving interns valuable insight into data-driven decision-making in organizations.

What types of projects or tasks can a data warehouse intern expect to work on during their internship?

As a Data Warehouse Intern, you can expect to be involved in a variety of tasks such as assisting with data modeling, performing data extraction and transformation, and supporting the maintenance and optimization of data pipelines. You may also help in cleaning and validating data, generating reports for business stakeholders, and testing data warehouse solutions for accuracy and efficiency. Interns often collaborate closely with data engineers, analysts, and IT teams, which provides valuable exposure to real-world data management practices and teamwork dynamics.

What are the key skills and qualifications needed to thrive as a data warehouse intern, and why are they important?

To thrive as a Data Warehouse Intern, you need a solid understanding of database concepts, SQL, and data modeling, often supported by coursework in computer science or information systems. Familiarity with data warehousing tools such as Microsoft SQL Server, Oracle, or cloud platforms like AWS Redshift, as well as experience with ETL processes, is highly beneficial. Strong analytical thinking, attention to detail, and effective communication help you interpret data and collaborate with team members. These skills and qualities are essential for accurately managing data, supporting business intelligence initiatives, and contributing to team projects in a real-world environment.

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

AspectData Warehouse InternData Analyst Intern
Required CredentialsEnrolled in or recent graduate of Computer Science, Data Science, or related fieldsEnrolled in or recent graduate of Statistics, Data Science, or related fields
Work EnvironmentAssist with data storage, database management, and ETL processes in data teamsAnalyze data, create reports, and support decision-making processes
Employer & Industry UsageUsed in organizations with large data infrastructure, tech, finance, and retailCommon across various industries including marketing, finance, and consulting

The Data Warehouse Intern focuses on supporting data storage, database management, and ETL processes, often working closely with data engineers. In contrast, the Data Analyst Intern primarily analyzes data, creates reports, and helps interpret data insights. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within data teams.

More about Data Warehouse Intern jobs

What cities are hiring for Data Warehouse Intern jobs?

Cities with the most Data Warehouse Intern job openings:

What are the most commonly searched types of Data Warehouse jobs?

The most popular types of Data Warehouse jobs are:

What states have the most Data Warehouse Intern jobs?

States with the most job openings for Data Warehouse Intern jobs include:

Infographic showing various Data Warehouse Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Sr Data Integration Engineer

Lakeville, MN • Hybrid

Compeer Financial
Finance and Insurance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Compeer Financial rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.

How we support you:

  • Hybrid model – up to 50% work from home
  • Flexible schedules including ample flexibility in the summer months
  • Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
  • Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
  • Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
  • Learning and development programs
  • Mentorship programs
  • Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
  • Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.

To learn more about Compeer Financial visit www.compeer.com/careers. 

This position offers a hybrid work option up to 50% remote and is open to any Compeer office location in Illinois, Minnesota and Wisconsin.


The contributions you will make: 

This position is responsible for the development, enhancement and effective operations of complex data movement between various systems using ETL methodologies. Responsible for leading company database development efforts and coordinating with business users, consultants/contractors, vendors and internal team members to maximize the usage and value of company data assets. In many cases ETL processes are used to extract data from source systems, transform and enrich the data, and load it into the Data Warehouse.

A typical day: 

ELT/ETL Development

  • Designs, builds, deploys, and maintains data integration solutions using Microsoft Fabric, including Data Factory pipelines, Dataflows Gen2, notebooks, Lakehouses, Warehouses, and SQL Server Integration Services (SSIS) where applicable.
  • Develops, maintains, and administers data platform databases, Lakehouses, Warehouses, and related data integration components.
  • Functions as a primary contributor in designing, coding, testing, and debugging ETL/ELT pipelines and processes to create reliable, seamless data flows across source systems and the enterprise data platform.
  • Supports the overall strategy for Microsoft Fabric, data warehouse, Lakehouse, and database development, including adoption of scalable and reusable data integration patterns.
  • Monitors, troubleshoots, and analyzes pipeline failures, data anomalies, inconsistencies, and other data integration issues identified through monitoring, technical team members, and end users.
  • Creates automated, repeatable, and stable processes for data ingestion, transformation, validation, synchronization, and publishing across the data platform.
  • Develops database and data integration requirements for data migrations, business-unit initiatives, and SQL Server/Fabric projects using SQL, PySpark, notebooks, pipelines, and other appropriate technologies.
  • Identifies and resolves data integrity, quality, and reconciliation issues between source systems, Lakehouses, data warehouses, and downstream reporting or application consumers.
  • Applies data engineering best practices for security, performance, documentation, source control, testing, and deployment across Microsoft Fabric environments.

Consumption Views

  • Supports reporting, analytics, and application users by designing and creating secure, performant consumption views and curated data products in Microsoft Fabric Lakehouses and Warehouses.
  • Creates logical relationships across source systems, Lakehouses, Warehouses, and enterprise data models to provide consistent, trusted data for reporting and analytics.
  • Develops and maintains SQL views, semantic-model-ready datasets, and reusable data structures using SQL and Microsoft Fabric tools.
  • Partners with reporting, analytics, and business teams to define common calculations, data definitions, and access requirements.

Database Administration

  • Supports overall strategy related to database and data warehouse development.
  • Actively participates with the Business Technology department in preparing and implementing backup and disaster recovery procedures and processes for mission critical databases.
  • Contributes to data dictionaries and database diagrams for complex in-house databases.
  • Provides on-call support for problem resolution of database related issues.

The skills and experience we prefer you have: 

  • Bachelor's degree in computer science, engineering, MIS or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
  • Minimum of 5 years of experience with various MS SQL environments (2008, 2012, 2014, 2017), designing and implementing SSIS packages and ETL development using SQL Server Data Tools.
  • SQL Server and/or other Microsoft technologies preferred.
  • Advanced knowledge of SQL, including T-SQL, data modeling, normalization, data types, query tuning, indexing, constraints, query plans, and relational database concepts.
  • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory pipelines, Dataflows Gen2, notebooks, and related data engineering capabilities.
  • Advanced experience with SSRS, Power BI, Microsoft Fabric reporting, or comparable reporting and analytics tools.
  • Experience designing data solutions for both operational (OLTP) and analytical/data warehouse environments.
  • Experience with software deployment, source control, CI/CD pipelines, build automation, and promoting solutions across development, test, and production environments.
  • Ability to translate complex technical concepts and data issues into clear, non-technical language.
  • Advanced client-service skills and a strong customer-focused mindset.
  • Strong listening, written, and verbal communication skills, with the ability to communicate effectively at all levels of the organization.
  • Ability to work independently and collaboratively across teams to achieve shared goals and represent business needs.
  • Valid driver's license.

#IND100

How we will take care of you:

Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.

Base Pay
$94,400—$142,900 USD

Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.

Click here to view federal employment laws applicable for applicants.


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