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Query Processing Jobs in Utah (NOW HIRING)

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 ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... processes and troubleshoot failures. * Collaborate with technology teams and partners to specify data requirements and provide access to data. * Tune application and query performance using profiling ...

Data Engineer

Lehi, UT

$107K - $129K/yr

... processes and troubleshoot failures. * Collaborate with technology teams and partners to specify data requirements and provide access to data. * Tune application and query performance using profiling ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

... processes and troubleshoot failures. * Collaborate with technology teams and partners to specify data requirements and provide access to data. * Tune application and query performance using profiling ...

... 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 ...

Create and process purchase orders to ensure timely procurement of materials and supplies.Track and ... Experience with Power BI, VBA, Power Query, or other reporting and automation tools.APICS/ASCM ...

Create and process purchase orders to ensure timely procurement of materials and supplies.Track and ... Experience with Power BI, VBA, Power Query, or other reporting and automation tools.APICS/ASCM ...

Create and process purchase orders to ensure timely procurement of materials and supplies. * Track ... Experience with Power BI, VBA, Power Query, or other reporting and automation tools. * APICS/ASCM ...

Create and process purchase orders to ensure timely procurement of materials and supplies. * Track ... Experience with Power BI, VBA, Power Query, or other reporting and automation tools. * APICS/ASCM ...

Showing results 21-40

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:

Data & Infrastructure Engineer

WorkBay

Draper, UT • On-site

$107K - $128K/yr

Full-time

PTO

Re-posted 10 days ago


Job description

Company: WorkBay
Location: Salt Lake City, UT area | On-Site
Employment Type: Full-Time
Compensation: Based on experience


About WorkBay

WorkBay is the largest owner/operator of micro-bay industrial warehouse parks in the United 
States. Fully vertically integrated, we develop, acquire, and manage micro-bay properties across 
the country's top markets. We move fast, think strategically, and build systems that scale — and 
we're looking for an engineer who does the same.


Position Overview
We are seeking a skilled and motivated Data & Infrastructure Engineer to own and evolve the 
data platform that powers WorkBay's operations, analytics, and strategic decision-making. You 
will maintain and extend our data pipelines, API integrations, cloud deployments, and AI powered tools — ensuring the integrity, security, and reliability of our proprietary systems as we continue to scale.


Key Responsibilities

  • Maintain and extend scheduled data sync pipelines that pull from third-party APIs into our 
    PostgreSQL database
  • Monitor and troubleshoot cloud deployments across Vercel (serverless functions) and 
    Railway (container services), including uptime, logs, and performance
  • Build and manage API integrations — designing endpoints, handling authentication, and 
    ensuring reliability across internal and external services
  • Enforce data integrity standards including validation, cleansing, deduplication, and quality 
    assurance across complex multi-source data
  • Implement and maintain data security protocols to protect WorkBay's proprietary 
    information, including access controls and encryption
  • Support and extend our AI infrastructure, prompt configurations, evaluation suites, and cost 
    monitoring
  • Own database schema migrations, indexing, and query optimization in PostgreSQL
  • Manage version-controlled codebases using GitHub, including code reviews, CI/CD pipelines, 
    and deployment workflows
  • Collaborate with leadership to design data-driven tools and dashboards that support 
    operational decision-making
  • Document data architecture, runbooks, and processes to ensure organizational continuity


Qualifications

Required

  • 3–5 years of professional experience in data engineering, platform engineering, or a related 
    field
  • Strong proficiency in Python and SQL
  • Production experience with PostgreSQL (schema design, migrations, query optimization)
  • Experience building and consuming REST APIs
  • Proficiency with GitHub and modern version control workflows (branching, PRs, CI/CD)
  • Experience with serverless platforms (Vercel, AWS Lambda, Cloudflare Workers, or similar)
  • Comfort with Linux CLI, shell scripting, and remote server management
  • Strong problem-solving skills with the ability to work independently and manage multiple 
    priorities


Preferred

  • Exposure to AI/LLM architecture — understanding how large language models consume 
    data and how to structure pipelines that support AI-driven applications
  • Experience with container-based deployment platforms (e.g., Railway, Docker, Fly.io)
  • Experience with CRM integrations (e.g., Salesforce, HubSpot) or property management systems 
    (e.g., Yardi, MRI, RealPage)
  • Background in real estate, property management, or commercial real estate tech
  • Experience with ETL/ELT patterns and workflow orchestration (e.g., APScheduler, Airflow, 
    Dagster)
  • Familiarity with React/TypeScript (not required, but helpful for full-stack debugging)
  • Experience in a high-growth or scaling company environment


What We Offer

  • Competitive compensation based on experience
  • Generous PTO policy
  • Opportunity to own critical infrastructure at a fast-scaling company in commercial real estate
  • A lean, entrepreneurial environment where your work directly impacts company growth
  • Cutting-edge AI/ML workflows for real estate — you'll work with LLM APIs, prompt engineering, and AI-powered automation in a live business context


WorkBay is an equal opportunity employer. We celebrate diversity and are committed to 
creating an inclusive environment for all employees