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Software Engineer Data Analyst Jobs in Utah (NOW HIRING)

The software engineer develops, maintains, and enhances complex and diverse software systems (e.g. processing-intensive analytics, novel algorithm development, manipulation of extremely large data ...

Software Engineer Pay rate: up to $57.93/hr. Location: Salt Lake City, UT Zip code: 84116 Start ... analysis, design, implementation, integration, and formal testing. *Contribute to software test ...

Software Engineer Pay rate: up to $57.93/hr. Location: Salt Lake City, UT Zip code: 84116 Start ... analysis, design, implementation, integration, and formal testing. *Contribute to software test ...

Collaborate closely with systems engineers to integrate software on various hardware platforms ... Demonstrate highly analytical skills to evaluate technical data and programmatic data to determine ...

... software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by ...

Showing results 41-60

Software Engineer Data Analyst information

See Utah salary details

$40.5K

$118.1K

$161.6K

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

As of Sep 2, 2026, the average yearly pay for software engineer data analyst 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 a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

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

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities in Utah are hiring for Software Engineer Data Analyst jobs?

Cities in Utah with the most Software Engineer Data Analyst job openings:

$118K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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: Technical 408
Pay Range: $118,900.00 - $178,500.00
Job Description
The Big Data Developer will design how data will flow through hybrid data environments comprised of open source big data platforms and traditional database systems. The core responsibility for this position includes design of data and systems architecture for OLAP (data warehouse/ODS) and OLTP projects encompassing dimensional and normalized data modeling.
The Big Data Developer will improve technical standards in the environment ensuring optimal use of data warehouse and other data stores to solve business problems. The Big Data Developer will serve as the go to person for query performance and data quality issues including data profiling.
Job Duties
  • Develops and builds ETL/ELT data pipelines for use in data analysis.
  • Creates and maintains optimal data pipeline architecture.
  • Keeps data separated and secure across multiple cloud environments.
  • Assembles large, complex data sets that meet functional and non-functional business requirements.
  • Delivers ad-hoc and analytical reports to internal users and teams.
  • Monitors and maintains ETL/ELT jobs and troubleshoots load issues.
  • Manages change requests/ticket queues for analytical reports and ETL/ELT jobs.
  • Performs data/technology discovery from new sources and third-party applications for data ingestion.
  • Creates complex reports and dashboards in Cognos and Tableau.
  • Ingests and transforms structured, semi-structured, and unstructured data from sources including relational databases, NoSQL, external APIs, JSON, XML, delimited files, and more.
  • Works and delivers in agile methodology for new development projects. Delivers efficient and effective solutions on time.
  • Analyzes and understands data sources and designs a data model for data capture and ETL/ELT.
  • Identifies bugs, applies fixes, and checks data quality via process/pipeline audits.
  • Uses industry best practices for code development, testing, implementation, and documentation.
  • Performs other job-related duties as assigned.

Knowledge, Skills, and Abilities
  • Excellent verbal and written communication skills, along with technical documentation skills
  • Ability to work with team members, as well as cross-team for product delivery
  • Ability to work in an agile environment with timely delivery of ETL/ELT pipelines and reports
  • Knowledge and experience using tools like Jira, Confluence, and GitHub
  • Ability to develop processes for the audit of data integrity
  • Knowledge and experience with validation and testing development to analyze and debug issues
  • Experience with relational SQL and NoSQL databases
  • Knowledge and experience with object-oriented/object function scripting languages, like Python, Java, and Scala
  • Knowledge and experience with big data tools, like Hadoop, Spark, Kafka, Databricks, etc.
  • Exposure to analytical reporting tools, preferably Cognos and Tableau
  • Knowledge and experience with Cloudera or Horton, Impala, Hive, AngularJS, HTML5, and CSS/LESS

Minimum Qualifications
  • Bachelor's Degree in Management Information Systems, Computer Science, or a related field
  • 4 years of experience in Data Engineering, Data Integration, Big Data, Business Intelligence, or Software Engineering

Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is the discretion of the hiring manager
Preferred Qualifications
  • Higher Education Domain Exposure

Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.
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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