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Aws Data Engineer 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 ... Manage and optimize our AWS data lakehouse architecture, including S3 storage, Glue data catalog ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Utah Community Credit Union

Data Engineer

Provo, UT

$108K - $130K/yr

... AWS, Azure, or GCP) and associated data services • Solid understanding of data warehousing ... feature engineering for predictive models • Experience with BI platforms such as Power BI ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... AWS, Azure, or GCP) and associated data services • Solid understanding of data warehousing ... feature engineering for predictive models • Experience with BI platforms such as Power BI ...

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus. Working Environment and Physical Demands: * Hybrid or onsite ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus. Working Environment and Physical Demands: * Hybrid or onsite ...

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Aws Data Engineer information

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$40.5K

$118.1K

$161.6K

How much do aws data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for aws data engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Utah?

The most popular types of Aws Data Engineer jobs in Utah are:

What are popular job titles related to Aws Data Engineer jobs in Utah?

For Aws Data Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Aws Data Engineer jobs in Utah look for?

The top searched job categories for Aws Data Engineer jobs in Utah are:

What cities in Utah are hiring for Aws Data Engineer jobs?

Cities in Utah with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Data Engineer

Orem, UT • On-site

Smarty
See more jobs at Smartyexternal

$100/hr

Full-time

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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