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Data Engineer Data Analyst Jobs in Alpine, UT (NOW HIRING)

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

Assists in the analysis of underlying issues arising from investigations into requirements. Assists ... May have prior experience as a Programmer and/or Service Delivery Engineer within a technical ...

Patientco

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Partner with business analysts, product owners, and stakeholders to understand and translate ... Strong Python programming experience * Experience building scalable data pipelines and ...

Crew Career Center

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Partner with business analysts, product owners, and stakeholders to understand and translate ... Strong Python programming experience * Experience building scalable data pipelines and ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

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 ...

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Showing results 41-60

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Alpine, UT

Data Engineer Data Analyst information

See Alpine, UT salary details

$32.1K

$78.1K

$128.6K

How much do data engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer data analyst in Alpine, UT is $78,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,700.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Alpine, UT as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,118 per year, or $37.6 per hour.

IAR Senior Data Analyst

Western Governors University

Salt Lake City, UT

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 628 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Professional 310Pay Range: $91,000.00 - $136,400.00

Job Description

You will join a collaborative team of data analysts and data engineering professionals responsible for transforming enterprise data into business-ready information. The team partners closely with executive leaders, finance, operational teams, and academic stakeholders to build trusted reporting, define key performance indicators, and create a consistent source of truth across the organization.
Current initiatives include modernizing enterprise reporting, supporting finance and board-level reporting, enhancing data marts, and improving data alignment across systems to ensure consistent decision-making throughout the university.
What You'll Do
  • Partner with stakeholders, faculty staff, leaders, and cross-functional teams to understand business needs and translate them into analytics solutions and technical requirements.
  • Analyze complex data across multiple domains to answer critical business questions, evaluate hypotheses, support research initiatives, and develop forecasts.
  • Design, build, and maintain reporting, dashboards, data visualizations, and analytical products that drive informed decision-making.
  • Collaborate with Data Engineering teams to develop and enhance ETL/ELT processes, data pipelines, and scalable data structures.
  • Identify and resolve complex data quality issues while contributing to standards and best practices that improve enterprise data integrity.
  • Lead and manage analytics projects from discovery through implementation, communicating progress, risks, dependencies, and recommendations to stakeholders.
  • Present insights through compelling data storytelling that enables leaders to take deliberate, informed action.
What You'll Bring
  • Bachelor's degree in a related discipline.
  • 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
  • Advanced SQL proficiency, including queries and subqueries, data modification (INSERT, UPDATE, DELETE), views, joins, filtering, sorting, aggregations, window functions, common table expressions (CTEs), and performance tuning.
  • Strong experience creating dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools.
  • Experience translating technical concepts and analytical findings into clear, actionable recommendations for business audiences and senior leaders.
  • Experience leading projects or workstreams from planning through delivery while managing multiple priorities and stakeholder expectations.
  • Ability to work independently with a high degree of ownership, curiosity, problem-solving ability, and a bias for action.
  • Knowledge of data modeling concepts, including conceptual and logical data models, dimensional modeling, star schema, and snowflake schema.
  • Experience with descriptive statistics, causal analysis, and inference.
  • Proficiency with Microsoft Office Suite, including advanced Excel skills.
  • Familiarity with project management methodologies such as Agile, Waterfall, and SDLC.
  • Experience using flowcharting and diagramming tools such as Miro, Visio, Lucidchart, or similar software.
Bonus Points
  • Experience working in Databricks environments.
  • Experience with Genie AI or similar AI-enabled analytics tools.
  • Experience developing or working with large language model (LLM) solutions or AI-powered data products.
Experience in Lieu of Education
An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Hiring manager interview (45 minutes)
  • Technical/team-fit panel (60 minutes)
Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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