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Data Engineer Jobs in Sandy, UT (NOW HIRING)

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong ETL Experience (especially in extraction and ingestion of 3rd party data) Nice-to-haves: * Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

We are looking for a skilled andversatile Full Stack Data Engineer to join our cross-functional data team. Youwill work across the full data lifecycle -- from ingestion and transformation tosurfacing ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Senior Big Data Engineer with Storm

Provo, UT · On-site

$52.75 - $69.75/hr

... experience with data transformation pipelines preferably Storm • 5 or more years experience in messaging frameworks preferably Kafka. • 5 or more years experience with Java programming.

Showing results 41-60

Data Engineer information

See Sandy, UT salary details

$42.3K

$123.3K

$168.8K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Sandy, UT is $123,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Sandy, UT?

The most popular types of Data Engineer jobs in Sandy, UT are:

What are popular job titles related to Data Engineer jobs in Sandy, UT?

For Data Engineer jobs in Sandy, UT, the most frequently searched job titles are:

What cities near Sandy, UT are hiring for Data Engineer jobs?

Cities near Sandy, UT with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Sandy, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,324 per year, or $59.3 per hour.

Software Engineer, Data

Neighbor

Lehi, UT • On-site

$140 - $180/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

At Neighbor, we’re building the largest hyperlocal marketplace the world has ever seen. We’ve raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we’re just getting started!

As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.

You’ll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You’ll own the pipelines and transformation layer that power analytics at Neighbor: ingesting data from production databases, APIs, and event streams, and serving it through our semantic layer and BI tools. You’ll be the engineering backbone of a small, high-leverage data team.

Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI.


Primary Responsibilities
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs).
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness.
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols.
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities.
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling.
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives.
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value.
  • Go deep on analysis yourself when the question demands it, you're comfortable in both the pipeline and the insight
  • Mentor our data analysts and data scientists on engineering best practices (code review, testing, version control, pipeline design), raising the technical bar across the team
Qualifications
  • 5+ years as software engineer including 3+ years with an emphasis in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent practical experience
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa
Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7

About Neighbor:

Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.

Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email athr@neighbor.com. Check out our careers page to get to know us better as you think about your next step at Neighbor!

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