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Associate Data Engineer Jobs in Utah (NOW HIRING)

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Sr. Data Engineer

Lehi, UT

$107.50K - $129.10K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Sr. Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Senior Platform & AI Engineer

Lehi, UT · On-site

$51.75 - $67/hr

Requirements Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 10+ years experience in building ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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Associate Data Engineer information

See Utah salary details

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How much do associate data engineer jobs pay per hour?

As of May 30, 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 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 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 does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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.

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 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 & Analytics Engineer

Associate, Data & Analytics Engineer

Morgan Stanley

South Jordan, UT • Hybrid

$97.92K/yr

Full-time

Posted 23 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

38th of 138 rated financial services


Job description

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

What you'll do in the role:

Morgan Stanley Services Group Inc. is seeking an Associate, Data & Analytics Engineer in South Jordan, UT to use data to create models depicting fraud trends in the customer base and the consumer population as a whole. Create data visualizations to understand fraud trends. Create effective technology solutions in improving efficiency using different analytical techniques and forecasting. Create rules in the rule's engine and conduct pre- and post- production testing to ensure effectiveness. Collaborate with cross- functional groups such as Customer Service, Product Management, Engineering, and Technology to enhance tools, data sources, system functionalities, and fraud detection methods. Communicate trends, findings, proposals, and solutions to management and stakeholders. Measure performance using appropriate tools and techniques. Recommend or introduce new tools used for fraud detection, prevention and reporting activities. Execute complex SQL queries including joins, subqueries, unions, and temporary tables. Telecommuting permitted up to 3 days per week.

What you'll bring to the role:

-Requires a Master's degree in Information Systems, Computer Science, Computer Engineering, or a related field of study.

-Requires two (2) years of experience in the position offered or two (2) years as an Associate, Business Technology Analyst, Systems Engineer, or a closely related occupation.

-Requires two (2) years of experience with the following skills:

  • SQL queries including joins, subqueries, unions, and temporary tables;
  • data visualization to create interactive dashboards and reports;
  • data modeling, validation, testing, and cleansing;
  • designing and developing ETL pipelines to support end-to-end dataflows;
  • root cause analysis;
  • integrating and aggregating data from internal and external sources;
  • gathering business requirements from stakeholders and translating into actionable analytics solutions;
  • AGILE methodologies;
  • enhancing data accuracy through troubleshooting and validation across data layers;
  • communicating with stakeholders and executive leadership through presentations and reports;
  • cross-functional partnerships with product, technology, and operations teams to improve data capabilities and workflows;
  • financial services, data, and products including Online banking, Transaction Data, and Checking and Savings Accounts;
  • minimizing operational risk including limiting information shared outside the firm, securing firm data, and authenticating clients.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $97,920 and $97,920 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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