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

Healthcare Provider L65 - Associate Vice President, AI and Data Solutions - Data Lead Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a ...

New

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 ...

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Associate Data Engineer information

See Herriman, UT salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for associate data engineer in Herriman, UT is $17.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $18.89 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 Herriman, UT?

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

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

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

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

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

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

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

Infographic showing various Associate Data Engineer job openings in Herriman, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $36,950 per year, or $17.8 per hour.

Senior Associate, Application Developer

L3HHCM20

Salt Lake City, UT

$80K - $149K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

Job Title: Senior Associate, Application Developer  

Job Code: 42443

Job Location: (On Site) Melbourne, FL; Rochester, NY; Salt Lake City, UT; or Rockwall TX

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

This position is responsible for developing, implementing, and maintaining AI-powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data-driven decision-making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions.

Essential Functions:

  • Design, develop, test, and maintain AI-powered applications and automation solutions using modern development frameworks and cloud platforms
  • Work within Palantir Foundry (or similar platforms) to build data-driven applications and analytical workflows
  • Support end-to-end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
  • Build and integrate LLM-based applications leveraging generative AI technologies for business use cases
  • Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
  • Create and maintain data pipelines for AI model integration, feature engineering, and real-time inference
  • Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
  • Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
  • Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
  • Perform model evaluation, validation, and performance analysis using appropriate technical metrics
  • Optimize application performance, scalability, and cost-efficiency of AI workloads
  • Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
  • Collaborate with cross-functional teams to translate business and technical needs into effective solutions
  • Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
  • Prepare and maintain technical documentation, design artifacts, user guides, and test results
  • Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
  • Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
  • Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
  • Contribute to the development of reusable AI components and internal libraries
  • Contribute technical solutions within established architectures and development processes
  • Identify risks and recommend mitigation strategies
  • Stay current with the rapidly evolving AI landscape and share knowledge with the broader team

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Preferred Additional Skills:

  • Strong programming skills and experience with at least one modern programming language (Python, Java, C#, JavaScript, etc.)
  • Hands-on experience working with LLMs and generative AI APIs
  • Demonstrated experience building and deploying applications that integrate AI capabilities
  • Experience with software integration, REST APIs, and service-based architectures
  • Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts
  • Familiarity with version control (Git), automated builds, testing processes, and modern development workflows
  • Experience with Palantir Foundry platform for building data applications and workflows
  • Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.)
  • Experience with vector databases and RAG architecture
  • Familiarity with prompt engineering techniques and LLM fine-tuning approaches
  • Front-end development skills (React, Vue, or similar) for building AI application interfaces

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $80,500-$149,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $70,500-$130,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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