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Senior Data Analytics Engineer Jobs in Santaquin, UT

Fint Solutions Inc

Senior Data Scientist

Provo, UT · On-site

The candidate will analyze large datasets, build predictive models, and provide data-driven insights to improve customer experience and business performance. Required Skills: * Python and SQL

New

Five Star Franchising LLC

Data Engineer

Springville, UT · On-site

$105K - $127K/yr

As a Data Engineer, you will be responsible for the acquisition, storage and reporting of ... Transforming raw data into usable formats for analysis and other applications. We use Looker for ...

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

THE ROLE As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Atonom

Data Engineer

Provo, UT · On-site

THE ROLE As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

THE ROLE As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

THE ROLE As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

PG Forsta

Staff Data Engineer ( Seattle/Provo Hybrid)

Provo, UT · On-site

$108K - $130K/yr

Company Description Press Ganey is the leading experience measurement, data analytics, and insights ... We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Atonom

AI Data Engineer

Provo, UT · On-site

THE ROLE As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly ...

Raytheon

Affordability Risk Engineer

Provo, UT

Collaborate with Affordability Leads and senior Modelers to align cost modeling with program ... Degree or advanced degree in Mathematics, Data Analytics, Economics, Industrial Engineering ...

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... analysts, and other stakeholders to understand data requirements and ensure data quality • ... data engineering and data science, and identify opportunities to leverage them within the ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Santaquin, UT

Senior Data Analytics Engineer information

See Santaquin, UT salary details

$74.2K

$115.7K

$160.2K

How much do senior data analytics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior data analytics engineer in Santaquin, UT is $115,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $131,900.00 per year, depending on experience, location, and employer.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are popular job titles related to Senior Data Analytics Engineer jobs in Santaquin, UT? For Senior Data Analytics Engineer jobs in Santaquin, UT, the most frequently searched job titles are:
What cities near Santaquin, UT are hiring for Senior Data Analytics Engineer jobs? Cities near Santaquin, UT with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Santaquin, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,673 per year, or $55.6 per hour.

Senior Data Scientist

Fint Solutions Inc

Provo, UT • On-site

Other

Posted 2 days ago

New

Job description

We are looking for a Data Scientist with strong experience in analytics, machine learning, and statistical modeling to support business growth. The candidate will analyze large datasets, build predictive models, and provide data-driven insights to improve customer experience and business performance.

Required Skills:

  • Python and SQL
  • Machine Learning & Statistical Analysis
  • Data Visualization (Tableau/Power BI)
  • A/B Testing and Customer Analytics
  • Experience with AWS, Azure, or Google Cloud Platform
  • E-commerce or Retail domain experience

Responsibilities:

  • Analyze customer and business data to identify trends and opportunities.
  • Develop predictive models for recommendations, customer retention, and sales forecasting.
  • Perform customer segmentation and marketing analytics.
  • Collaborate with Product, Marketing, and Business teams to drive data-driven decisions.
  • Build dashboards and present insights to stakeholders.

Preferred:

  • Experience with Databricks, Spark, or Big Data tools.
  • Knowledge of Recommendation Systems and Personalization Models.
  • Experience with Generative AI or NLP is a plus.
  • Experience in E- commerce domain

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