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Data Engineer Internship Amazon Jobs in Utah (NOW HIRING)

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a ... Amazon Athena - query optimization, DDL management * AWS Glue - data catalog, crawlers, DDL ...

RED CAT HOLDINGS

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 ...

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

... Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more ... We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

... 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 ...

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 ...

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

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

NRG

Sr Amazon Connect Lead

Lindon, UT

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

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Data Engineer Internship Amazon information

See Utah salary details

$12

$23

$35

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

As of Aug 7, 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?

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.
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Data Engineer Internship Amazon jobs near you

Data Engineer

Smarty

Orem, UT • On-site

$100/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago

Job description

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a growing SaaS company. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our analytics and reporting capabilities. You will work closely with data analysts and business stakeholders to ensure that clean, reliable, and well-structured data is always available when and where it's needed.
This is an onsite, non-remote position in Orem, UT.
What You'll Do
  • Design, build, and maintain scalable data pipelines and ELT workflows using open-source/self-hosted Airbyte and custom Python
  • Develop and maintain dbt models, tests, and documentation to transform raw source data into reliable fact and dimension tables
  • Manage and optimize our AWS data lakehouse architecture, including S3 storage, Glue data catalog, and Athena query layer
  • Orchestrate automated data workflows using AWS Step Functions and EventBridge schedules
  • Deploy and manage Lambda functions for near-real-time pipelines, reverse ETL, and Slack-based data delivery
  • Manage infrastructure as code using AWS CloudFormation for Lambdas, Step Functions, and Glue resources
  • Maintain and administer Airbyte for data ingestion across sources such as HubSpot, MySQL databases, Google Analytics, and others
  • Write and maintain bespoke Python pipelines for sources and use cases not well-served by off-the-shelf connectors
  • Monitor pipeline health via AWS CloudWatch, respond to failures, and maintain data quality through dbt testing
  • Manage AWS services including ECS/ECR (containerized pipeline execution), Secrets Manager, SNS, and IAM
  • Collaborate with data analysts to support Power BI reporting, including scheduled semantic model refreshes
  • Document data architecture, pipelines, and operational runbooks to support team knowledge and continuity

Who You Are
  • 3+ years of experience in a Data Engineering or similar role
  • Strong hands-on experience with dbt (data build tool) - modeling, incremental strategies, testing, and documentation
  • Proficiency in Python for data pipeline development and automation
  • Strong working knowledge of AWS data services, including:
    • Amazon S3 - storage management, partitioning, lifecycle
    • Amazon Athena - query optimization, DDL management
    • AWS Glue - data catalog, crawlers, DDL management
    • AWS Lambda - event-driven processing and automation
    • AWS Step Functions & EventBridge - pipeline orchestration and scheduling
    • AWS ECS/ECR - running containerized workloads
    • AWS CloudFormation - infrastructure as code
    • AWS CloudWatch - logging and monitoring
    • AWS IAM & Secrets Manager - permissions and credential management
  • Experience managing an Airbyte (or similar ELT tool such as Fivetran) deployment and its source connections
  • Solid SQL skills and comfort with data modeling concepts (staging, intermediate, fact/dimension layers)
  • Familiarity with MySQL or similar relational databases as data sources
  • Experience with version control (Git/Bitbucket or similar) and code review workflows
  • Strong problem-solving skills and a proactive approach to pipeline monitoring and data quality
  • Nice to have:
    • Experience integrating with SaaS APIs such as Salesforce, HubSpot, Google Analytics, or Help Scout
    • Familiarity with Power BI or other BI tools (Tableau, Looker, etc.)
    • Experience with reverse ETL patterns (pushing transformed data back to source systems)
    • Experience working in a SaaS company environment or with product usage/billing data
    • Familiarity with Apache Iceberg or similar table formats (VACUUM/OPTIMIZE operations)
    • AWS certifications (e.g., AWS Certified Data Engineer, Solutions Architect)

Benefits and Perks
  • Competitive compensation (DOE)
    • Range for this role is $90k - $120k
  • 100% paid health, dental, and basic life insurance premiums (including family coverage)
  • Long-term disability insurance
  • Generous PTO that increases with tenure
  • 401(k) with company matching
  • Ongoing training and professional development
  • Adjustable standing desk and modern tools
  • Drinks, snacks, team lunches, and activities
  • In-office chiropractic services
  • Company retreats and trips to genuinely fun places

To apply:
Sounds too good to be true? Apply and find out for yourself.
  • For more information about the company, please visit us at www.smarty.com.

We are an Equal Opportunity Employer and we require all candidates (that receive and accept employment offers) to complete a background check.
About Smarty
Since its founding in 2011, Smarty has become a recognized industry leader in address data intelligence (exciting, we know). We provide enterprise-grade SaaS solutions worldwide for address validation, geocoding, and data enrichment.
Our culture is all about creating, building, helping, and collaborating with energy and excitement. We want to enjoy our time together by being outward toward others, making appropriate efforts to master our respective crafts, and doing lots of fun things together.

Apply