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Query Processing Jobs in Chicago, IL (NOW HIRING)

K&L Gates

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Gen2 processes to prepare and enrich data from multiple sources for analytical consumption. • ... Query for reporting and self-service analytics. • Collaborate with BI and business teams to ...

New

ShiftCode Analytics

Informatica Developer

Chicago, IL · On-site

$55 - $72.25/hr

... and processes. • Experience working with Query Surge. • Experience with window environment. • Possess knowledge of testing tools and techniques. • Working knowledge of Kimball design ...

Atria Group LLC

Database Developer

Vernon Hills, IL · On-site

Experience using bulk processing, DBMS packages required * Experience in analyzing query plans and query tuning, partitioning, and optimizer hints required * Experience in Data warehouse and Business ...

Atria Group LLC

Reports Developer

Vernon Hills, IL · On-site

$46 - $63/hr

Experience using bulk processing, DBMS packages required * Experience in analyzing query plans and query tuning, partitioning, and optimizer hints required * Experience in Data warehouse and Business ...

Pivotal Solutions

Reporting Analyst

Chicago, IL · On-site

Create and monitor extract/transform/load processes used in database population and application ... Excellent structured query language skills. * Ability to create and maintain basic ETL scripts.

Purple Drive

ETL Developer

Chicago, IL · On-site

$52.50 - $68.75/hr

... data processing and query optimization techniques using TSQL. 2+ years' Experience with implementing audit, balance, and control mechanism in data solutions. Strong understanding of DW concepts ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

Successful applicants for this position will be working in an agile project management process on a ... Chicago IL Jobs, Data Engineer, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures ...

RethinkFirst

Senior Database Developer

Chicago, IL · Remote

This role is heavily focused on developing and tuning stored procedures, improving query performance, implementing scalable data access patterns, and managing ETL processes in Azure Data Factory and ...

Rethink

Senior Database Developer

Chicago, IL · On-site +1

This role is heavily focused on developing and tuning stored procedures, improving query performance, implementing scalable data access patterns, and managing ETL processes in Azure Data Factory and ...

Medinext Global LLC

IT Software Engineer

Chicago, IL · On-site

$75/hr

Position Description Position Title - IT Software Engineer Job Location - Chicago, IL, USA Bill Rate Range - $75 to 80/ hr Estimated Duration (In Months) - 13 Work Model - Hybrid Must have Skills ...

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Successful applicants for this position will be working in an agile project management process on a ... Chicago IL Jobs, Data Engineer Trading, Python, Linux, MS SQL Server, SQL Query Writing, Stored ...

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Query Processing information

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How much do query processing jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for query processing in Chicago, IL is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $19.81 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.

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 are popular job titles related to Query Processing jobs in Chicago, IL? For Query Processing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Query Processing jobs in Chicago, IL look for? The top searched job categories for Query Processing jobs in Chicago, IL are:
Query Processing jobs near you
Data Engineer

Data Engineer

K&L Gates

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted yesterday

Job description

Job Summary:
K&L Gates is a fully integrated global law firm seeking an experienced Data Engineer with a strong focus on Microsoft Fabric. The role involves designing, implementing, and maintaining enterprise data solutions while collaborating with various business units to deliver scalable and reliable data products.
Responsibilities:
• Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and orchestration.
• Build Dataflow Gen2 processes to prepare and enrich data from multiple sources for analytical consumption.
• Develop and manage Fabric Notebooks (Python, Spark, SQL) for advanced transformations and automation.
• Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions.
• Implement robust data quality, validation, and monitoring processes.
• Design and implement Data Warehouses and Lakehouses within Microsoft Fabric to meet analytical and operational needs.
• Understand when to use Lakehouse vs. Warehouse based on data volume, structure, performance requirements, and business use cases.
• Apply best practices for data modeling (star/snowflake schema, dimensional modeling, and semantic models).
• Ensure alignment with enterprise architecture and data governance standards.
• Develop Power BI semantic models and datasets using DAX and Power Query for reporting and self-service analytics.
• Collaborate with BI and business teams to ensure data products meet stakeholder needs.
• Optimize Power BI performance by tuning data models, queries, and refresh strategies.
• Support advanced analytics, forecasting, and AI initiatives through well-structured and high-quality data sources.
• Work within a DevOps Agile framework, participating in sprint planning, stand-ups, and retrospectives.
• Use version control and continuous integration tools to manage and deploy data assets.
• Collaborate closely with cross-functional teams including software engineers, BI developers, and business analysts.
• Create detailed technical documentation, reusable templates, and automated deployment scripts.
• Partner with stakeholders in Finance, HR, Client Growth, Operations, and IT to understand business needs and deliver tailored data solutions.
• Translate business requirements into technical specifications and implement scalable data solutions accordingly.
• Promote best practices for data accessibility, quality, and governance across departments.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or 10 years of working experience in related field.
• Minimum of 2 years of hands-on experience implementing Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks, Data Warehouse, Lakehouse).
• Proven experience developing and deploying Fabric Data Factory pipelines with CI/CD automation.
• Strong working knowledge of Power BI, DAX, and Power Query (M language).
• Expertise in SQL and Python for data transformations, query optimization, and automation.
• Solid understanding of data architecture principles, including data modeling, schema design, and performance tuning.
• Experience applying DevOps and Agile methodologies in data engineering projects.
• Ability to choose the right Fabric tools (Lakehouse, Warehouse, Dataflows, Notebooks, Power BI) to solve specific business problems.
• Familiarity with Data Mesh principles, including domain-oriented data ownership, federated governance, and self-service data platforms.
• Proficient in implementing Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric for scalable and maintainable data solutions.
• Excellent communication and collaboration skills, with experience working across multiple business domains.
Preferred:
• Microsoft certifications such as: Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Azure Data Engineer Associate
• Experience with GitHub Actions or Azure DevOps YAML pipelines for CI/CD automation.
• Familiarity with data governance frameworks, metadata management, and security best practices.
• Exposure to real-time analytics, event-driven architecture, or AI/ML data preparation.
Company:
At K&L Gates, we foster an inclusive and collaborative environment across our fully integrated global platform that enables us to diligently combine the knowledge and expertise of our lawyers and policy professionals to create teams that provide exceptional client solutions. Founded in 1883, the company is headquartered in Pittsburgh, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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