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Data Science Jobs in Washington, UT (NOW HIRING)

Wipro Limited

GCP Data Engineer

Santa Clara, UT · On-site

$45K - $121K/yr

Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development. -Pipeline ...

New

beatBread

AI Engineer

Saint George, UT · On-site

Collaborate with data scientists and engineers to optimize model performance and reliability * Implement, monitor, and improve model training processes, including domain-specific custom training

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Collaborate with data scientists and engineers to optimize model performance and reliability * Implement, monitor, and improve model training processes, including domain-specific custom training

Growve

Quality Specialist

Washington, UT · On-site

Bachelor's degree in food science, Biology, Microbiology, Chemistry, Nutrition, Exercise Science ... Accurate data entry skills and Lab sample submissions * Excellent interpersonal/communication ...

Growve

Quality Specialist

Washington, UT · On-site

Bachelor's degree in food science, Biology, Microbiology, Chemistry, Nutrition, Exercise Science ... Accurate data entry skills and Lab sample submissions * Excellent interpersonal/communication ...

Growve

Quality Specialist

Washington, UT

Bachelor's degree in food science, Biology, Microbiology, Chemistry, Nutrition, Exercise Science ... Accurate data entry skills and Lab sample submissions * Excellent interpersonal/communication ...

Datavant

Area Health Information Specialist I

Saint George, UT · On-site

$93K - $94K/yr

... data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their ...

Datavant

Area Health Information Specialist I

Saint George, UT · On-site

$93K - $94K/yr

... data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their ...

New

Intermountain Health

Exercise Therapist

Saint George, UT · On-site

$22.10 - $34.11/hr

... Exercise Science, Kinesiology, or a related field (enrollment will be verified), Or Bachelor ... We protect your privacy and follow strict data protection rules. Your information is safe and used ...

GE Aerospace

Systems Thermal Analyst

Saint George, UT · On-site

... test data and correlating system models, building up and maintaining system models and model ... Deep expertise in the thermal fluid sciences including fluid mechanics, thermodynamics, and heat ...

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All JobsData Science JobsData Science Jobs in Washington, UT

Data Science information

See Washington, UT salary details

$34.1K

$111.5K

$178.5K

How much do data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science in Washington, UT is $111,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $123,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Washington, UT? For Data Science jobs in Washington, UT, the most frequently searched job titles are:
What cities near Washington, UT are hiring for Data Science jobs? Cities near Washington, UT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Washington, UT as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,478 per year, or $53.6 per hour.
GCP Data Engineer

GCP Data Engineer

Wipro Limited

Santa Clara, UT • On-site

$45K - $121K/yr

Full-time

Medical, Dental, PTO

Posted yesterday

New

Wipro rating

7.6

Company rating: 7.6 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services

Job description

Job Title: GCP Data Engineer
City: Santa Clara
State/Province: California
Posting Start Date: 7/10/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Role: GCP Data Engineer
Location: Santa Clara, CA (3 Days onsite/week)
Job Description:
Highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.
Key Responsibilities*
Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development.
-Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
-Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics.
-Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
Job Qualifications & Skills
- Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
-Programming & Querying:
Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
-Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
-DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.
Soft Skills
- Excellent communication
- Team collaboration
- Documentation and knowledge sharing
Education Requirements
Bachelor's/Master's in Computer Science or equivalent (can be marked optional or flexible)
Certifications
GCP Data Engineer
Mandatory Skills: GCP Cloud PaaS Google Cloud Platform.
Experience: 3-5 Years.
The expected compensation for this role ranges from $45,000 to $121,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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