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Associate Data Engineer Jobs in Orem, UT (NOW HIRING)

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

Senior Controls Engineer - Data Centers

Provo, UT · On-site

$91K - $121K/yr

To be successful, you must be an effective collaborator with customers and other associates to ... Bachelor's degree in engineering or equivalent experience. * 7+ years of experience in the control ...

... Engineering Associates, General Associate Body, Managers, Executive Team) * Prepare reports for ... Collect, verify, analyze and report facility management data from various sources (guest ...

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Associate Data Engineer information

See Orem, UT salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for associate data engineer in Orem, UT is $16.29, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $17.36 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an associate data engineer?

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 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 an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Orem, UT?

The most popular types of Data Engineer jobs in Orem, UT are:

What are popular job titles related to Associate Data Engineer jobs in Orem, UT?

For Associate Data Engineer jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Orem, UT look for?

The top searched job categories for Associate Data Engineer jobs in Orem, UT are:

What cities near Orem, UT are hiring for Associate Data Engineer jobs?

Cities near Orem, UT with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $33,883 per year, or $16.3 per hour.

Staff Data Engineer ( Seattle/Provo Hybrid)

Press Ganey Associates LLC

Provo, UT • On-site

$110 - $170/hr

Other

Posted 14 days ago


Press Ganey rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

107th of 496 rated business services


Job description

Company DescriptionPress Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world‑class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together.

To work #bettertogether

To work #bettertogether, we operate with a hybrid working mode in the United States (US). For those near a US hub location, we gather in our office locations three days a week (Tuesday, Wednesday, Thursday). For the remaining days, we work from home.

Our current hub locations are in Chicago, IL, Boston, MA, and South Bend, IN.

Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com Please provide your contact information and the details of your request so we can best assist you.

Duties & Responsibilities
  • Design, build, and optimize data pipelines and workflows in Azure and Databricks, including Data Lake and SQL Database integrations.
  • Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark.
  • Optimize data structures and queries for performance, reliability, and cost efficiency.
  • Drive data quality and governance initiatives, including metadata management and validation frameworks.
  • Collaborate with cross-functional teams to define and implement data models aligned with business and analytical requirements.
  • Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
  • Ensure adherence to security, compliance, and data privacy standards.
  • Mentor junior engineers and contribute to establishing engineering best practices.
  • Support CI/CD pipeline development for data workflows using GitLab or Azure DevOps.
  • Partner with data consumers to publish curated datasets into reporting tools such as Power BI.
  • Stay current with advancements in Azure, Databricks, Delta Lake, and data architecture trends.
Technical Skills
  • Advanced proficiency in Azure 5+ years (Data Lake, ADF, SQL).
  • Strong expertise in Databricks (5+ years), Apache Spark (5+ years), and Delta Lake (5+ years).
  • Proficient in SQL (10+ years) and Python (5+ years); familiarity with Scala is a plus.
  • Strong understanding of data modeling, data governance, and metadata management.
  • Knowledge of source control (Git), CI/CD, and modern DevOps practices.
  • Familiarity with Power BI visualization tool.
Minimum Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
  • 7+ years of experience in data engineering, with significant hands‑on work in cloud-based data platforms (Azure).
  • Experience building real‑time data pipelines and streaming frameworks.
  • Strong analytical and problem‑solving skills.
  • Proven ability to lead projects and mentor engineers.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Master’s degree in Computer Science, Engineering, or a related field.
  • Exposure to machine learning integration within data engineering pipelines.
Additional Information for US-based jobs

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

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About Press Ganey

Sourced by ZipRecruiter

Press Ganey pioneered the health care performance improvement movement 35 years ago. Today Press Ganey offers an integrated suite of solutions that enable enterprise transformation across the patient journey. Delivered through a cutting-edge digital platform built on a foundation of data security, Press Ganey solutions address safety, clinical excellence, patient experience, and workforce engagement. The company works with more than 41,000 health care facilities in its mission to reduce patient suffering and enhance caregiver resilience to improve the overall safety, quality, and experience of care.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Fort Worth, TX, US

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