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Data Modeling Internship Jobs (NOW HIRING)

Together AI

Data Warehouse Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Requirements * 0-4 years of professional experience (or strong internships/projects) working with ... Familiarity with data modeling concepts like SCD2 or star schemas - even if only from coursework.

Together AI

Data Warehouse Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Requirements * 0-4 years of professional experience (or strong internships/projects) working with ... Familiarity with data modeling concepts like SCD2 or star schemas - even if only from coursework.

Imperial PFS

Analytics Engineer

Edwardsville, IL · On-site

$107K - $129K/yr

Building standardized data models that reduce time-to-insight for business users * Implementing ... Interns joining our team gain hands-on exposure to a dynamic industry, working alongside ...

Imperial PFS

Analytics Engineer

Edwardsville, IL

$107K - $129K/yr

Building standardized data models that reduce time-to-insight for business users * Implementing ... Interns joining our team gain hands-on exposure to a dynamic industry, working alongside ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

About Knit Health Knit Health is building a novel clinical foundation model to improve the way ... A combination of internships, research, and substantial project experience that clearly ...

AssetMark, Inc.

Associate Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Modeling: Assist in developing dimensional models, curated data marts, and reusable data ... internships are encouraged to apply * Bachelor's degree in Computer Science, Data Analytics ...

AssetMark

Associate Data Engineer

Charlotte, NC

$111K - $134K/yr

Data Modeling: Assist in developing dimensional models, curated data marts, and reusable data ... internships are encouraged to apply * Bachelor's degree in Computer Science, Data Analytics ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

Build and maintain data models, reporting structures, and data relationships that support analytics ... Strong internship or project experience may also be considered. * Experience applying analytical ...

Sellers & Associates

Data Analyst

Washington, DC · On-site

Build and maintain data models, reporting structures, and data relationships that support analytics ... Strong internship or project experience may also be considered. * Experience applying analytical ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Build and maintain data models, reporting structures, and data relationships that support analytics ... Strong internship or project experience may also be considered. * Experience applying analytical ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Build and maintain data models, reporting structures, and data relationships that support analytics ... Strong internship or project experience may also be considered. * Experience applying analytical ...

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Data Modeling Internship information

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How much do data modeling internship jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data modeling internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a Data Modeling Internship?

A Data Modeling Internship is a temporary position for students or recent graduates to gain practical experience in designing and structuring data for use in databases and information systems. Interns typically work with data architects and analysts to create data models, which help organize and manage data efficiently for businesses. This role often involves learning about different data modeling techniques, using specialized software tools, and supporting projects that improve data quality and accessibility. The internship provides valuable exposure to real-world data challenges and prepares individuals for future roles in data management and analytics.

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

AspectData Modeling InternshipData Analyst Internship
Required SkillsData modeling, database design, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, analytics teams, reporting environments
Industry UsageTech, finance, healthcare, where data structure design is keyMarketing, finance, retail, focusing on data insights

While both internships involve working with data, a Data Modeling Internship focuses on designing and structuring data systems, whereas a Data Analyst Internship emphasizes analyzing data to generate insights. The choice depends on whether you prefer working on database architecture or data interpretation.

What are the key skills and qualifications needed to thrive as a Data Modeling Intern, and why are they important?

To thrive as a Data Modeling Intern, you need a solid understanding of database concepts, data structures, and proficiency in SQL, often supported by coursework in computer science or data analytics. Familiarity with data modeling tools like ERwin, Microsoft Visio, or Lucidchart, and experience with relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and translate business requirements into data models. These skills are essential for creating accurate, scalable data models that support efficient data storage, retrieval, and analysis in organizational projects.

What types of projects and responsibilities can I expect during a Data Modeling Internship?

As a Data Modeling Intern, you can expect to work closely with data engineers and analysts to design, build, and refine data models that support business intelligence and analytics initiatives. Typical responsibilities include gathering requirements, creating entity-relationship diagrams, normalizing databases, and assisting in the documentation of data flows. You'll also have opportunities to participate in meetings with cross-functional teams, learn best practices for database design, and contribute to ongoing data quality improvement efforts. This hands-on experience provides valuable exposure to real-world data challenges and helps build a strong foundation for a career in data management.
More about Data Modeling Internship jobs
What cities are hiring for Data Modeling Internship jobs? Cities with the most Data Modeling Internship job openings:
What are the most commonly searched types of Data Modeling jobs? The most popular types of Data Modeling jobs are:
What states have the most Data Modeling Internship jobs? States with the most job openings for Data Modeling Internship jobs include:
What job categories do people searching Data Modeling Internship jobs look for? The top searched job categories for Data Modeling Internship jobs are:
Data Modeling Internship jobs near you
Infographic showing various Data Modeling Internship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Warehouse Engineer

Data Warehouse Engineer

Together AI

San Francisco, CA • On-site

$130K - $170K/yr

Other

Medical

Re-posted 10 days ago

Job description

About the Role

Together AI is building high-performance inference compute and the software platform around it. We're looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You'll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org - with mentorship and support from experienced engineers.

Requirements
  • 0-4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
  • Solid SQL fundamentals - you're comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
  • Some hands-on experience with dbt or Airflow, or strong eagerness to learn - coursework and personal projects count.
  • Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
  • Familiarity with data modeling concepts like SCD2 or star schemas - even if only from coursework.
  • Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
  • High standards for data quality, reliability, and maintainability - you care about getting things right.
Responsibilities
  • Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
  • Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
  • Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
  • Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
  • Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
  • Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for "source of truth."
  • Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
  • Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
  • Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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