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Data Engineer Internship Amazon Jobs in Utah (NOW HIRING)

Red Cat Holdings

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). • ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT · On-site

$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 ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Performs technical and functional analysis for data engineering projects. * Supports and performs ... Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and ...

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Performs technical and functional analysis for data engineering projects. * Supports and performs ... Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and ...

Fidelity Corp

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

Performs technical and functional analysis for data engineering projects. * Supports and performs ... Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong DB Expertise in an Amazon environment (RDS, Postgres, and DynamoDB) * Strong ETL Experience ... Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to ...

NRG

Sr Amazon Connect Lead

Lindon, UT · On-site

... Product, Engineering, Security, Finance, and vendor teams to ensure the platform meets Vivint ... time data) to improve CX and operational outcomes. - Evaluate and introduce new Amazon Connect ...

PacifiCorp

Electrical Engineer

Salt Lake City, UT · On-site

Perform routine billing and data analysis to monitor system accuracy and identify engineering ... Completion of internship with an electrical utility. Benefits At PacifiCorp, we understand that ...

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Data Engineer Internship Amazon information

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How much do data engineer internship amazon jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data engineer internship amazon 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 does a Data Engineer Intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What types of projects and technologies do Data Engineer Interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

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

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.
What are popular job titles related to Data Engineer Internship Amazon jobs in Utah? For Data Engineer Internship Amazon jobs in Utah, the most frequently searched job titles are:
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Data Engineer Internship Amazon jobs near you

Data Engineer

Red Cat Holdings

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Re-posted 23 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.

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