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Query Processing Jobs in Illinois (NOW HIRING)

Staffingine LLC

Power BI Developer

Oak Brook, IL · On-site

Develop automated ETL processes using T-SQL stored procedures * Optimize report performance and ... Power Query: Data transformation and ETL development * SQL Server Agent : Job scheduling ...

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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 are popular job titles related to Query Processing jobs in Illinois?

For Query Processing jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Query Processing jobs in Illinois look for?

The top searched job categories for Query Processing jobs in Illinois are:

What cities in Illinois are hiring for Query Processing jobs?

Cities in Illinois with the most Query Processing job openings:

Query Processing jobs near you

Senior Java Full Stack Engineer - Spring Boot & Spring Batch

Long Finch Technologies

Beason, IL • On-site

$51.25 - $66/hr

Full-time

Posted 7 days ago

Job description

We are looking for an experienced Senior Java Full Stack Developer with strong hands-on expertise in Java, Spring Boot, Spring Batch, and QA Automation. The ideal candidate will design, develop, and support scalable enterprise applications, build high-performance microservices, implement robust batch processing solutions, and drive automation and quality engineering practices.

Key Responsibilities
  • Design, develop, and maintain high-throughput Java/Spring Boot microservices for enterprise data processing and integration workflows.
  • Lead the development of Spring Batch applications for end-to-end data pipelines, including ingestion, validation, transformation, persistence, reconciliation, and status tracking.
  • Build secure and scalable REST API integrations with internal and external systems using Spring technologies.
  • Implement OAuth2 client credentials authentication, API retry mechanisms, timeout strategies, and observability-focused logging.
  • Develop file-to-database and API-to-database synchronization processes with strong data accuracy and traceability.
  • Implement batch processing best practices including restartability, idempotency, chunk processing, partitioning, and error recovery.
  • Design and optimize database workflows using PostgreSQL, including schema-aware CRUD operations, transaction management, indexing, and query optimization.
  • Establish automated quality gates using BDD and integration testing frameworks, including Cucumber and JUnit.
  • Perform API validation, database testing, and edge-case automation to ensure application reliability.
  • Drive production readiness through monitoring, health checks, exception handling, diagnostics, alerting, and operational support practices.
  • Collaborate with cross-functional teams including QA, DevOps, Product, and Data teams to deliver reliable software solutions.
  • Mentor developers through code reviews, architecture discussions, and engineering best practices.
Required Technical Skills
  • 8+ years of hands-on experience in Java development with strong knowledge of OOP principles, collections, concurrency concepts, and clean coding practices.
  • Strong expertise in Spring Boot and Spring Batch, including:
    • Job and step configuration
    • Item readers, processors, and writers
    • Chunk-based processing
    • Partitioning
    • Job restart and recovery strategies
  • Experience developing and consuming RESTful APIs using Spring MVC/WebFlux with secure service-to-service communication.
  • Strong knowledge of PostgreSQL and SQL, including:
    • Complex queries
    • Database transactions
    • Indexing strategies
    • Performance tuning
    • Large-volume ETL/data processing workloads
  • Hands-on experience with Spring Data JPA and JDBC Template for ORM-based and query-driven data access.
  • Experience with QA automation frameworks including:
    • Cucumber
    • JUnit
    • API automation
    • Database validation testing
  • Experience with build and deployment tools such as:
    • Maven
    • Docker
    • CI/CD pipelines

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