1

Data Engineer Internship Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... internship (we care about proof you can ship and debug). • Solid engineering habits: Git ... data from APIs and messy SaaS exports (rate limits, pagination, schema drift, deduping). • ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up ... Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ...

By using data-driven reminders, recalls, and reactivations, Brevium's software helps return lost ... Engineer interns should be able to work on a variety of different projects, including building and ...

By using data-driven reminders, recalls, and reactivations, Brevium's software helps return lost ... Engineer interns should be able to work on a variety of different projects, including building and ...

By using data-driven reminders, recalls, and reactivations, Brevium's software helps return lost ... Engineer interns should be able to work on a variety of different projects, including building and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Engineers who have experience designing wireless communication and data links. This role includes ...

Create dimensional data reports in Excel * Collaborate closely with engineering and metrology groups to ensure department goals are achieved * Mentor and assist in training of Engineering interns

Create dimensional data reports in Excel * Collaborate closely with engineering and metrology groups to ensure department goals are achieved * Mentor and assist in training of Engineering interns

next page

Showing results 1-20

Data Engineer Internship information

See Utah salary details

$12

$23

$35

How much do data engineer internship jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data engineer internship in Utah is $23.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship position, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a Data Engineer Internship job?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a Data Engineer Internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Utah? The most popular types of Data Engineer jobs in Utah are:
What are popular job titles related to Data Engineer Internship jobs in Utah? For Data Engineer Internship jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Engineer Internship jobs? Cities in Utah with the most Data Engineer Internship job openings:
Infographic showing various Data Engineer Internship job openings in Utah as of June 2026, with employment types broken down into 1% Internship, 83% Full Time, 8% Part Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $48,128 per year, or $23.1 per hour.

Data Engineer

Red Cat Holdings

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Posted 21 days ago


Job description

Job Summary:
Red Cat Holdings is seeking a Data Engineer to build their data foundation from the ground up. The role involves creating ETL/ELT pipelines, setting up a cloud data warehouse, and collaborating with various stakeholders to ensure data quality and accessibility.
Responsibilities:
• Build and maintain ETL/ELT pipelines that ingest data from multiple sources (e.g., internal DBs, SaaS tools, and third-party APIs), and keep them running reliably.
• Implement scheduling/orchestration, retries, and alerting so failures are visible and recoverable.
• Design pipelines using incremental processing patterns for scalability and cost efficiency.
• Help set up our first cloud data warehouse (e.g., Snowflake or BigQuery) and the initial schema/layout.
• Add data quality checks (tests, constraints, anomaly detection, reconciliation checks) and fix root causes when numbers look wrong.
• Create lightweight observability: freshness/SLAs, pipeline run monitoring, and basic lineage documentation.
• Make thoughtful tradeoffs between performance, usability, and maintainability.
• Work with stakeholders to translate questions into durable datasets (not one-off queries).
• Document sources, models, and assumptions so teammates can self-serve and onboard quickly.
• Participate in a reasonable support/on-call rotation once the stack is live.
Qualifications:
Required:
• Bachelor’s degree in computer science, data engineering, information systems, or equivalent technical degree.
• 3+ years of data engineering experience, specifically in managing a data warehouse.
• Strong SQL skills (joins, window functions, building reliable transformation logic).
• Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue.
• Understanding of data warehousing basics: tables, partitions (where relevant), incremental loads, and why modeling choices matter.
• Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship (we care about proof you can ship and debug).
• Solid engineering habits: Git, readable code, and a willingness to write things down.
Preferred:
• dbt experience (models + tests + docs) or the ability to ramp quickly.
• Orchestration experience (Airflow, Dagster, Prefect, or similar).
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift).
• Experience ingesting data from APIs and messy SaaS exports (rate limits, pagination, schema drift, deduping).
• Familiarity with basic data quality/observability practices (freshness checks, anomaly detection, monitoring/alerting).
Company:
Red Cat (Nasdaq: RCAT) is a U.S.-based provider of advanced all-domain drone and robotic solutions for defense and national security. Founded in 2016, the company is headquartered in San Juan, PRI, with a team of 51-200 employees. The company is currently Growth Stage.