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Query Processing Jobs in Utah (NOW HIRING)

... query optimization, and operational reliability • Help architect and evolve complex data models ... processes, and deployment reliability Qualifications : Required : • Have strong experience ...

Java Developer

Salt Lake City, UT · On-site

$49.25 - $63.75/hr

Drive backend acceleration strategies, including asynchronous processing and query optimization. * Good Experience on MongoDB * Good Experience on Agile Methodology * Ensure high code quality through ...

... query optimization, and operational reliability • Help architect and evolve complex data models ... processes, and deployment reliability Qualifications : Required : • Have strong experience ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... processing and query performance • Implement and maintain data security policies and procedures, including access controls, encryption, and data masking • Design and implement data processing ...

.Net Developer

Salt Lake City, UT · On-site

$46.75 - $61.75/hr

... query optimization, and performance/scalability considerations Industry experience in payment processing Proficiency with Microsoft Office Suite of Products. Experience with integration to COTS ...

... processes. • Work to minimize risk by identifying, communicating, and escalating issues to ... Preferred : • Experience with event sourcing and CQRS (Command Query Responsibility Segregation ...

Data Engineer

Provo, UT

$108K - $130K/yr

Optimize and tune data pipelines to ensure efficient processing and query performance * Implement and maintain data security policies and procedures, including access controls, encryption, and data ...

Data Engineer

Provo, UT

$108K - $130K/yr

Optimize and tune data pipelines to ensure efficient processing and query performance * Implement and maintain data security policies and procedures, including access controls, encryption, and data ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Optimize and tune data pipelines to ensure efficient processing and query performance * Implement and maintain data security policies and procedures, including access controls, encryption, and data ...

... processes and implementing necessary changes. * Federal and state income tax knowledge. * Tax research and communication skills. * Advanced Excel skill level: Power Query, Pivot Tables. The estimated ...

... processes and implementing necessary changes. * Federal and state income tax knowledge. * Tax research and communication skills. * Advanced Excel skill level: Power Query, Pivot Tables. The estimated ...

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Own database schema migrations, indexing, and query optimization in PostgreSQL * Manage version ... Document data architecture, runbooks, and processes to ensure organizational continuity ...

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Query Processing information

What is query processing?

Query processing refers to the series of steps a database management system (DBMS) takes to interpret and execute a user's query. This process involves parsing the query, translating it into a suitable internal representation, optimizing it for efficient execution, and finally retrieving the requested data from the database. Effective query processing is crucial for ensuring fast and accurate results, especially in large and complex databases. It typically includes techniques like indexing, query rewriting, and using execution plans to improve performance.

How does a Query Processing professional typically collaborate with database administrators and software developers?

Query Processing professionals play a vital role in optimizing how databases handle and execute queries. They work closely with database administrators to analyze performance bottlenecks, suggest indexing strategies, and ensure efficient data retrieval. Collaboration with software developers is also common, as these professionals help design application queries that are both effective and resource-efficient. This teamwork ensures that end-users receive fast, accurate results while maintaining the stability and scalability of database systems.

What are the key skills and qualifications needed to thrive as a Query Processing Specialist, and why are they important?

To thrive as a Query Processing Specialist, you need a solid understanding of database management, information retrieval, and data analysis, often supported by a degree in computer science or a related field. Familiarity with SQL, search algorithms, data warehousing solutions, and query optimization tools is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data needs and collaborate with stakeholders. These competencies are crucial for efficiently handling and optimizing queries to ensure accurate, timely access to data and support business decision-making.

What is the difference between Query Processing vs Data Analyst?

AspectQuery ProcessingData Analyst
Required CredentialsKnowledge of databases, SQL, and data retrieval techniquesDegree in statistics, data science, or related fields; SQL knowledge often required
Work EnvironmentDatabase systems, data warehouses, IT departmentsBusiness environments, analytics teams, reporting tools
Industry UsageIT, software development, database managementFinance, marketing, healthcare, and other sectors relying on data insights

Query Processing focuses on retrieving and managing data efficiently within databases, often involving technical skills like SQL and database management. Data Analysts interpret data, generate reports, and provide insights for decision-making. While both roles work with data, Query Processing is more technical and system-oriented, whereas Data Analysts focus on analysis and business applications.

What cities in Utah are hiring for Query Processing jobs? Cities in Utah with the most Query Processing job openings:

Database Engineer

pmtbox

Orem, UT • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:
pmtbox is a fintech company focused on managing payments-related risks and operations for retail clients. They are seeking a Database Engineer to design, scale, and optimize the data foundation of their platform, emphasizing proactive system building and complex data architecture.
Responsibilities:
• Design and optimize scalable relational database architecture across a growing fintech platform
• Improve database performance, indexing strategies, query optimization, and operational reliability
• Help architect and evolve complex data models tied to payments, fraud, risk, operational workflows, and reporting systems
• Build tooling around data validation, migrations, observability, integrity checks, and operational monitoring
• Improve reporting, analytics, and internal operational data workflows
• Partner closely with backend and frontend engineers to improve system performance and scalability
• Contribute to architectural decisions around data storage, caching, replication, and long-term scalability
• Use and refine AI-assisted development and operational workflows
• Improve database testing, CI/CD processes, and deployment reliability
Qualifications:
Required:
• Have strong experience working with relational databases such as Postgres, MySQL, or similar systems, as well as Redis
• Understand indexing, query optimization, schema design, migrations, and database scalability concepts deeply
• Have experience supporting production systems with meaningful operational complexity
• Think beyond individual queries and into systems, workflows, maintainability, and reliability
• Can build tooling, automation, or operational improvements proactively
• Can show things you’ve built yourself: database tooling, performance optimization work, automation scripts, side projects, GitHub projects, or internal infrastructure work
• Are curious about how AI changes how engineering and operational workflows get built
Preferred:
• Experience with Postgres functions, PostGIS, and triggers is a plus
• A project where AI assistance measurably changed your engineering workflow or speed
• How you support AI workflows with scripts, validation systems, observability, or structured context
• Knowledge of how to feed context and operational constraints into AI systems effectively
• A workflow you built to validate AI-generated outputs
• Situations where AI failed confidently and how you built safeguards around it
Company:
pmtbox is a fintech company that offers a platform for payment processing and recovery for businesses. Founded in 2022, the company is headquartered in Orem, USA, with a team of 11-50 employees. The company is currently Early Stage.