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Data Engineer Data Analyst Jobs in Utah (NOW HIRING)

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure ... Working closely with business intelligence analysts, compliance teams, and technology leadership ...

Pwc

Data Strategy-Manager

Salt Lake City, UT

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Pwc

Data Governance- Manager

Salt Lake City, UT

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

I have an opportunity for "Data Analyst" and looking for a candidate who can join Immediately if ... Azure Data Engineering, Azure DBA, Azure Developer or others related to the position * Domain ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

RC Willey

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that supports informed business decisions and drives performance. This role will develop data solutions using SQL, Power ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT · On-site

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

KēSTA I.T.

Data Analyst

Midvale, UT · On-site

$45 - $60/hr

Data Analyst - Data Integration & Enablement Location: Salt Lake City, UT Job Type: Contract ... Familiarity with AI concepts and prompt engineering. Technical Skills * Advanced SQL * Python * dbt

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Utah

Data Engineer Data Analyst information

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.

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

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

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

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Utah as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 76% In-person, 9% Hybrid, and 15% Remote job distribution.

Data Engineer

Utah Community Credit Union

Provo, UT • On-site

$108K - $130K/yr

Full-time

Re-posted 3 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)

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