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Junior Data Engineering Jobs in Utah (NOW HIRING)

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... 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 ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... 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 ...

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope. * Mentor junior engineers and build ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications * Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics ...

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Junior Data Engineering information

See Utah salary details

$30.5K

$65.4K

$99.7K

How much do junior data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior data engineering in Utah is $65,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $72,800.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Utah?

The most popular types of Data Engineering jobs in Utah are:

What job categories do people searching Junior Data Engineering jobs in Utah look for?

The top searched job categories for Junior Data Engineering jobs in Utah are:

What cities in Utah are hiring for Junior Data Engineering jobs?

Cities in Utah with the most Junior Data Engineering job openings:

Infographic showing various Junior Data Engineering job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,364 per year, or $31.4 per hour.

$108K - $130K/yr

Full-time

Posted 20 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)