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Associate Data Engineer Jobs in Utah (NOW HIRING)

JT4, LLC

Operations Test and Data Analyst

Magna, UT · On-site

Company Profile JT4, LLC provides engineering and technical support to multiple western test ranges ... associate degree two (2) two to seven (7) years of related experience; or a related bachelor ...

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Associate Data Engineer information

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$8

$17

$28

How much do associate data engineer jobs pay per hour?

As of Jun 27, 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
Risk - Salt Lake City - Associate, Software Engineering - 777858

Risk - Salt Lake City - Associate, Software Engineering - 777858

Goldman Sachs, Inc.

Salt Lake City, UT

Other

Posted 10 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

30th of 142 rated banks

Job description

Job Duties: Associate, Software Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Provide data-driven insights and effective technologies for firmwide risk management. Identify, design, and implement the best means of delivering risk information through compelling narratives, tools and visualizations to increase understanding and awareness of risk. Assist with innovating and designing new analytics and visuals, leveraging internal and external programming languages and software. Analyze, visualize, and oversee sets of data used in risk management and control functions. Provide a quantitative application to storytelling, leveraging risk engineering processes to maximize significance, quality, efficiency, speed, and reliability while ensuring clear accountability and attribution. Perform anomaly detections in large data sets, investigating the cause and recommending corrective actions. Work in close collaboration with bankers, traders, and portfolio managers as well as risk modelers and technology across the firm.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or a related field and one (1) year of experience in the job offered or in a related field OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or a related field and three (3) years of experience in the job offered or in a related field. Prior employment must include one (1) year (with Master's degree) or three (3) years (with Bachelor's degree) with: working with users to understand business requirements to design and develop low-cost and adoptive technical solutions; risk management at a large financial institution or a consulting organization, including experience in liquidity, regulatory, or credit risk; querying and aggregating data from a database, performing trend analysis, and visualizing results within a dashboard for the analysis of financial models used in credit risk management; examining risk factors impacting credit exposure; analyzing and explaining market trends to senior risk managers and financial regulators; and working with data management, including data flows, data mining, or data modeling.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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