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Query Processing Jobs (NOW HIRING)

Dolby

Senior Database Researcher

Atlanta, GA · On-site

Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science * Knowledge of statistics and machine ...

Scalence L.L.C.

Oracle PL/SQL Developer

Chicago, IL · On-site

$52.25 - $66/hr

... query processing, and query planning • Knowledge of data modeling, key data structures, and algorithms • Familiarity with Python or other scripting/programming languages Company : In today ...

Alpha Consulting Corp.

Oracle PL/SQL Developer

Chicago, IL · On-site

$52.25 - $66/hr

... query processing, and query planning • Knowledge of data modeling, key data structures, and algorithms • Familiarity with Python or other scripting/programming languages Company : Alpha ...

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How much do query processing jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for query processing in the United States is $16.74, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $19.23 per hour, depending on experience, location, and employer.

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.

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Query Processing jobs near you
Infographic showing various Query Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $34,822 per year, or $16.7 per hour.

Senior Software Engineer, Atlas Search Query

mongoDB, inc

San Francisco, CA • On-site

$144K - $190K/yr

Other

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution.
Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale.
Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the success of complex Search Query feature development.
We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model.
What You'll Do
  • Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework.
  • Set project level strategy, architect features, and lead projects to successful execution
  • Identify, design, and implement features enhancing our query language, performance, and operability
  • Perform code reviews with peers and make recommendations on how to improve our software development processes
  • Influence and grow team members through active mentoring and leading by example
What We Look For
  • 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background
  • Experienced in the development and maintenance of stateful distributed systems
  • Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others
  • Experienced in debugging and profiling multithreaded applications written in Java and Rust
  • Bonus: experience with designing high-volume query engines, such as a database, search system, or vector search system
Success Measures:
  • In 3 months, you'll contribute to the improvement of our core "mongot" repository
  • In 6 months, you'll be working on projects such as query features or platform improvements
  • In 12 months, you'll be building POCs, designing new features, and collaborating with other teams from across the company on complex projects
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.
To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID:
MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB's base salary range for this role in the U.S. is:
$126,000-$248,000 USD

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