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Sr Data Engineer Jobs in Utah (NOW HIRING)

Gehc

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Work alongside software developers and software engineers to translate algorithms into commercially ...

GE HealthCare

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... These teams typically include statisticians, computer scientists, software developers, engineers ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Partner with machine learning engineers to move successful experiments into production. * Develop ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Partner with machine learning engineers to move successful experiments into production. * Develop ...

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI ... Partner with machine learning engineers to move successful experiments into production. * Develop ...

Solventum

Data science software developer

Murray, UT · On-site

$124 - $171/hr

Senior Data Science Software Engineer (Solventum)**3M Health Care is now SolventumAt Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of ...

Healthcare

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of ...

Solventum

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of ...

Deegit Inc

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

Patientco

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data ...

Crew Career Center

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data ...

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Utah

Sr Data Engineer information

See Utah salary details

$73.7K

$115K

$159.3K

How much do sr data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for sr data engineer in Utah is $115,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $131,100.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Utah?

For Sr Data Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Utah look for?

The top searched job categories for Sr Data Engineer jobs in Utah are:

What cities in Utah are hiring for Sr Data Engineer jobs?

Cities in Utah with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,006 per year, or $55.3 per hour.

Service Data Scientist

Gehc

Salt Lake City, UT • On-site

Full-time

Re-posted 6 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

102nd of 496 rated machine equipment manufacturers

Job description

Job Description SummaryThe Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.Job Description

Roles and Responsibilities

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role, you will:
Develop analytics to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Work with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics

Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Technical Expertise:
Demonstrated awareness of data management methods
Demonstrated awareness of real-time analytics development and deployment
Domain Knowledge:
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
Demonstrated skill at function in a team setting
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances

We will not sponsor individuals for employment visas, now or in the future, for this job opening. Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

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