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Union Data Science Jobs in Orem, UT (NOW HIRING)

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... union. Working closely with business intelligence analysts, compliance teams, and technology ... QUALIFICATIONS REQUIRED QUALIFICATIONS • Bachelor's degree in Computer Science, Information ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... union. Working closely with business intelligence analysts, compliance teams, and technology ... QUALIFICATIONS REQUIRED QUALIFICATIONS • Bachelor's degree in Computer Science, Information ...

We build technology that helps banks, credit unions, and fintechs deliver smarter, more intuitive ... Work with a cross-functional team of designers, writers, software engineers, data scientists ...

Phlebotomist

Provo, UT

$16 - $20/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Phlebotomist

Provo, UT · On-site

$16 - $20/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Phlebotomist

Pleasant Grove, UT

$15.25 - $19.25/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

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Union Data Science information

See Orem, UT salary details

$40K

$143.5K

$211.7K

How much do union data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for union data science in Orem, UT is $143,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $147,800.00 per year, depending on experience, location, and employer.

What is a union data scientist?

A Union Data Scientist is a professional who applies data science techniques and methodologies within labor unions or organizations representing workers. Their role typically involves analyzing large datasets to support collective bargaining, improve workplace conditions, and inform union strategies. They may work with membership data, wage information, and industry trends to generate actionable insights. Union Data Scientists play a key role in helping unions make data-driven decisions to better advocate for their members.

What is the difference between Union Data Science vs Data Analyst?

AspectUnion Data ScienceData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst or Google Data Analytics
Work EnvironmentCollaborative teams within unions or labor organizations, often project-basedOffice settings in various industries, focusing on data interpretation and reporting
Employer & Industry UsageLabor unions, advocacy groups, government agenciesCorporations, consulting firms, government agencies across multiple sectors

Union Data Scientists and Data Analysts both analyze data, but Union Data Science roles often focus on labor-related issues within union organizations, requiring similar technical skills but applied in advocacy or policy contexts. Data Analysts typically work across industries to interpret data for business decisions. The key differences lie in their work environment and primary focus areas.

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

To thrive as a Union Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and database management systems is typically required. Excellent communication, problem-solving abilities, and collaboration skills help translate complex data insights to union stakeholders and support collective bargaining strategies. These skills are crucial for driving data-informed decision-making and advancing the goals of union organizations.

Are union data science jobs still in demand?

Union data science jobs remain in demand due to the growing reliance on data-driven decision-making across industries. These roles often require skills in statistical analysis, machine learning, and proficiency with tools like Python or R, with job stability influenced by union agreements and industry growth trends.

How do union data scientists typically collaborate with union leadership and members to address workplace issues?

Union Data Scientists often work closely with union leadership, organizers, and members to analyze workplace data—such as wage trends, grievance outcomes, or safety incidents—to support collective bargaining and policy advocacy. They translate complex data findings into actionable insights that inform negotiations or campaigns, requiring strong communication and collaboration skills. Regular interactions may involve presenting data to non-technical audiences or participating in strategy sessions, making teamwork and the ability to convey technical information in accessible ways essential to the role.
What are the most commonly searched types of Data Science jobs in Orem, UT? The most popular types of Data Science jobs in Orem, UT are:
What are popular job titles related to Union Data Science jobs in Orem, UT? For Union Data Science jobs in Orem, UT, the most frequently searched job titles are:
What cities near Orem, UT are hiring for Union Data Science jobs? Cities near Orem, UT with the most Union Data Science job openings:
Infographic showing various Union Data Science job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,462 per year, or $69 per hour.

$108K - $130K/yr

Full-time

Posted 10 days ago


Job description

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working closely with business intelligence analysts, compliance teams, and technology leadership, this role requires both technical depth and the ability to translate complex data challenges into reliable, scalable solutions within a regulated financial environment.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

• Architect, build, and maintain robust ETL/ELT pipelines to integrate data from core banking systems, lending platforms, digital banking channels, and third-party vendors

• Design and manage the credit union’s data warehouse and data lake, including schema design, partitioning strategies, and performance optimization

• Develop and enforce data quality frameworks, including automated testing, validation rules, and alerting for pipeline anomalies

• Lead the implementation of data modeling best practices (dimensional modeling, data vault, or similar) to support scalable analytics

• Collaborate with data analysts, compliance officers, and business stakeholders to define data requirements and deliver trusted data products

• Manage orchestration and scheduling of data workflows using tools such as Matillion, Snowflake, or equivalent

• Evaluate, implement, and maintain cloud data infrastructure on Snowflake or Azure, including compute, storage, and networking resources

• Ensure all data processes comply with applicable regulations, including NCUA guidelines, BSA/AML requirements, and GLBA data privacy standards

• Partner with the IT security team to enforce data access controls, encryption standards, and audit logging

• Mentor junior data engineers and analysts, providing technical guidance and code reviews

• Drive adoption of DataOps practices, including CI/CD for data pipelines, version control, and documentation standards

• Support data migration efforts during platform transitions, core system upgrades, or mergers and acquisitions

• Works a regular and predictable schedule. 

QUALIFICATIONS

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent professional experience)

• 3–5 years of hands-on experience in data engineering, data infrastructure, or a closely related role

• Advanced proficiency in SQL and experience with large-scale relational and columnar databases (e.g., PostgreSQL, Redshift, Snowflake, BigQuery)

• Strong Python skills for data pipeline development and automation

• Demonstrated experience designing and maintaining ETL/ELT workflows using tools such as dbt or Matillion

• Working knowledge of at least one major cloud platform (Snowflake, AWS, Azure, or GCP) and associated data services

• Solid understanding of data warehousing concepts including dimensional modeling and schema design

• Experience implementing data quality monitoring, lineage tracking, and observability practices

• Strong communication skills with the ability to work effectively across technical and non-technical audiences

PREFERRED QUALIFICATIONS

• Experience in a regulated financial services environment such as credit unions, banks, or fintech companies

• Familiarity with credit union core banking platforms such as Symitar (Episys), Jack Henry, or FiServ

• Knowledge of data governance frameworks, or master data management

• Exposure to machine learning pipelines and feature engineering for predictive models

• Experience with BI platforms such as Power BI, Tableau, or Looker

• Relevant certifications such as AWS Certified Data Analytics, Snowflake SnowPro, or dbt Certified Developer

• Familiarity with NCUA examination processes or financial regulatory reporting (e.g., HMDA, Call Report data)