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Query Processing Jobs in Utah (NOW HIRING)

Senior Software Engineer - Backend

American Fork, UT · On-site

$109K - $144K/yr

... processing pipelines, and complex microservice architectures. In this critical role, you will solve ... Strong proficiency with relational databases (e.g., MySQL, PostgreSQL), query optimization ...

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 ...

.Net Developer

Salt Lake City, UT

$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 ...

Senior Software Engineer - Backend

American Fork, UT · On-site

$109K - $144K/yr

... processing pipelines, and complex microservice architectures. In this critical role, you will solve ... Strong proficiency with relational databases (e.g., MySQL, PostgreSQL), query optimization ...

... process improvement. • Extract, validate, and interpret data from ERP systems, including SAP and ... Dashboard development, Data modeling, DAX calculations Power Query. • Strong proficiency in SQL ...

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 ...

Experience supporting process improvement and operational efficiency initiative Automation & Data Skills * Intermediate to advanced Excel skills (Pivot Tables, Power Query, formulas, data analysis)

... 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 ...

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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.

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.

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 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:

Senior Software Engineer - Backend

LVT

American Fork, UT • On-site

$109K - $144K/yr

Full-time

Posted 22 days ago


Job description

ABOUT THIS ROLE

As a Senior Software Engineer at LVT, you will architect, scale, and optimize the distributed core services that power our cutting-edge IoT and Agentic AI platforms. Operating within a high-velocity, collaborative environment, you will take ownership of robust API ecosystems, high-throughput data processing pipelines, and complex microservice architectures. In this critical role, you will solve demanding technical challenges at the intersection of hardware and cloud software, setting the engineering bar for reliability and performance while mentoring high-performing peers.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES
  • Distributed System Architecture: Architect, build, and deploy high-throughput, low-latency backend services and microservices using Node.js, TypeScript, and modern enterprise frameworks.

  • API Design & Ecosystem Management: Lead the design and implementation of resilient RESTful and GraphQL APIs, ensuring secure, efficient integration between physical edge devices, core data stores, and consumer surfaces.

  • System Scalability & Performance: Optimize data ingestion pipelines and database performance to handle vast volumes of real-time IoT telemetry, computer vision metadata, and Agentic AI streams.

  • Data Engineering & ORM Strategy: Design, optimize, and maintain complex relational databases (e.g., MySQL, PostgreSQL), driving best practices around schema design, caching strategies, and ORM query optimization.

  • Engineering Standards & Technical Leadership: Establish code quality standards through rigorous code reviews, automated CI/CD pipeline improvements, architectural design RFCs, and strategic technology selection.

  • Testing & System Resilience: Drive continuous integration and high availability by writing comprehensive unit, integration, and load tests to safeguard critical production systems against regressions.

  • Observability & Incident Response: Implement robust observability, telemetry, and distributed tracing frameworks to proactively monitor health, troubleshoot edge-to-cloud performance bottlenecks, and resolve complex defects.

  • Cross-Functional Collaboration: Partner closely with product management, hardware engineers, and AI research teams to translate ambiguous business requirements into robust, scalable software solutions.

OUR IDEAL CANDIDATE
  • Proven Senior Engineering Experience: 5+ years of professional backend software engineering experience, with a track record of architecting and operating production systems at scale.

  • Advanced TypeScript & Node.js Mastery: Deep expertise in server-side TypeScript and Node.js, including strong knowledge of asynchronous programming, event loops, and microservices design patterns.

  • Production API Expertise: Deep experience designing, building, and scaling performant RESTful and GraphQL APIs for enterprise applications or complex IoT ecosystems.

  • Relational Database & Data Pipeline Mastery: Strong proficiency with relational databases (e.g., MySQL, PostgreSQL), query optimization, indexing strategies, and ORM/query builder toolkits (e.g., Knex, Prisma).

  • Distributed Systems & Infrastructure: Practical experience with containerization (Docker, Kubernetes), asynchronous messaging systems (e.g., Kafka, RabbitMQ, MQTT), and cloud native architecture (AWS/GCP).

  • Commitment to Software Excellence: Passionate about test-driven practices, CI/CD automation, system observability (e.g., OpenTelemetry, Datadog), and strict security standards.

  • Collaborative Leadership & Technical Ownership: Demonstrated ability to mentor junior and mid-level engineers, drive technical consensus across teams, and execute independently in complex, fast-moving environments.