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Associate Data Engineer Jobs in Utah (NOW HIRING)

iCapital

Data Analytics - Associate

Salt Lake City, UT · On-site +1

$70K - $100K/yr

iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the ... Work closely with the Engineering, Product and Business teams to form a thorough understanding of ...

E Tech Group

Controls Engineer - Data Centers

Provo, UT · On-site

$79K - $102K/yr

To be successful, you must be an effective collaborator with customers and other associates to ... Bachelor's degree in engineering or equivalent experience. * 3+ years of experience in the control ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Utah

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for associate data engineer in Utah is $17.06, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.17 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Utah? The most popular types of Data Engineer jobs in Utah are:
What are popular job titles related to Associate Data Engineer jobs in Utah? For Associate Data Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Utah look for? The top searched job categories for Associate Data Engineer jobs in Utah are:
What cities in Utah are hiring for Associate Data Engineer jobs? Cities in Utah with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Utah as of June 2026, with employment types broken down into 41% Full Time, and 59% Contract. Highlights an 100% In-person job distribution, with an average salary of $35,481 per year, or $17.1 per hour.

Data Analytics - Associate

iCapital

Salt Lake City, UT • On-site, Remote

$70K - $100K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago

Job description

iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the Operations and Investment Management (OIPM) group at iCapital. This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change. This individual will sit in the Analytics group of the broader Data and Analytics team within Technology and will work closely with the Data Engineering group. 

On the technical side, this role will interface with the data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau, among others. On the business side, this role will work with the Operations teams to produce management visibility, efficiency improvements and workflow automation. Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.

 

Responsibilities

  • Write SQL within dbt to extract, transform, validate, and aggregate data.
  • Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis.
  • Monitor and deploy data pipelines into the orchestration infrastructure using Prefect.
  • Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and presenting on results.
  • Work closely with the Engineering, Product and Business teams to form a thorough understanding of the industry and evolving data mode.
  • Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time.

Qualifications

  • Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related technical field
  • 3-5 years of experience in a data-related role
  • Excellent writing, communication and presentation skills
  • Excellent knowledge of SQL (dbt experienced is preferred)
  • Good knowledge of a business intelligence tool (i.e. Tableau, Looker, PowerBI)
  • Good knowledge of Python, Microsoft Excel and intermediate statistics
  • Familiar with data science techniques and machine learning models
  • Prior experience with end-to-end project delivery (i.e. requirements gathering, scoping, working within large organizations, and presenting on project plans and results)
  • Detail-oriented, naturally curious and willing to question the status quo to understand business needs
  • Prior experience in financial services and alternative investments
  • Prior experience in business analyst or project management roles

Benefits

The base salary range for this role is $70,000 to $100,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

 

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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