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Data Analytics Engineer Jobs in Draper, UT (NOW HIRING)

Podium

Analytics Engineer

Lehi, UT · Hybrid

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Podium

Analytics Engineer

Lehi, UT · On-site

Analytics Engineer This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... As an Analytics Engineer, you will build and maintain analytics assets that turn business logic ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... As an Analytics Engineer, you will build and maintain analytics assets that turn business logic ...

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

This role is ideal for a data professional who thrives at the intersection of engineering and analytics-someone who can architect and maintain scalable data models, enforce high standards for data ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT

$90K - $115K/yr

Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers. * Build and maintain data pipelines that surface clean ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers. * Build and maintain data pipelines that surface clean ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT

Work with data from connected sources (ad platforms, CRM, ecommerce, subscription systems) and model them into reliable reporting layers. * Build and maintain data pipelines that surface clean ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Draper, UT

Data Analytics Engineer information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do data analytics engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data analytics engineer in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Draper, UT? The most popular types of Data Analytics Engineer jobs in Draper, UT are:
What job categories do people searching Data Analytics Engineer jobs in Draper, UT look for? The top searched job categories for Data Analytics Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for Data Analytics Engineer jobs? Cities near Draper, UT with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Draper, UT as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $121,265 per year, or $58.3 per hour.
Analytics Engineer

Analytics Engineer

Podium

Lehi, UT • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Analytics Engineer

This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be the internal Sales Operations and Analytics team but you will also work cross-functionally with talented Software Engineers, Data Engineers, and Data Scientists. The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists. 

What you will be doing:

  • Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
  • Architect scalable data solutions that empower all of Podium to work with data through agentic processes more easily and efficiently
  • Write documentation for best practices and to record Podium's data
  • Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

What you should have:

  • 3+ years of work experience with SQL and experience with multiple flavors, Snowflake preferred
  • 2+ years of work experience with Python
  • 2+ years of work experience using Git for version control
  • Experience using dbt and Snowflake is desirable
  • Demonstrated knowledge of how agents interact with data and how to build secure, scalable data interfaces for humans and AI
  • Strong drive to organize and document data in a reproducible manner
  • Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
  • Eagerness to work on development of internal tools, systems, packages, process, and documentation
  • You have a proven record of providing analyses that have tangible impact on the business
  • Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
  • You are committed to honesty and a diverse and inclusive workplace

What we hope you have:

  • Experience supporting Sales operations and GTM teams

Why you'll love working here:

  • Podium is the best place to work to:
    • Join the leaders in AI agents
    • Unlock career-defining growth
    • Build with world-class talent
    • Make a real impact on local business

Benefits

  • (If local to Utah) Work in this building in Lehi, UT 5 days a week
  • Open and transparent culture 
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan
  • Bi-annual swag drops with cool Podium gear and apparel 
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

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