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Graphql Jobs in Illinois (NOW HIRING)

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack to expose curated datasets to applications, analytics, and BI consumers. * Set engineering standards ...

Yum Brands

Sr. QA Engineer II

Chicago, IL · On-site

Experience testing GraphQL APIs, including complex queries and mutations. * Familiarity with cloud environments and containerized deployments (Docker, container registries). * Strong understanding of ...

Shure

Engineer Sr, Applications Systems Development

Niles, IL · On-site +1

$123K - $162K/yr

Expose functionality to consuming applications via GraphQL and/or REST APIs * Research, model and standardize device interaction capabilities across our broad product ecosystem, providing device ...

Yum! Brands

Sr. QA Engineer II

Chicago, IL · On-site

Experience testing GraphQL APIs, including complex queries and mutations. * Familiarity with cloud environments and containerized deployments (Docker, container registries). * Strong understanding of ...

Xforia, Inc.

Sr. Full Stack Engineer

Chicago, IL · On-site

Develop cutting edge user interfaces populated through APIs leveraging Java, NodeJS, and GraphQL * Implement solutions in cloud environments conducted through Google Cloud or Microsoft Azure * Design ...

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Showing results 41-60

All JobsGraphql JobsGraphql Jobs in Illinois

Graphql information

See Illinois salary details

$31.2K

$128.3K

$175.9K

How much do graphql jobs pay per year?

As of Aug 13, 2026, the average yearly pay for graphql in Illinois is $128,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,297.00 and $152,681.00 per year, depending on experience, location, and employer.

What is a GraphQL?

A GraphQL job typically involves designing, developing, and maintaining GraphQL APIs to facilitate efficient data fetching and manipulation. Professionals in this role work with client and server-side technologies, ensuring seamless communication between frontend applications and backend services. They often collaborate with developers, architects, and product teams to optimize API performance, security, and scalability. Responsibilities may also include schema design, query optimization, and integrating GraphQL with various databases or microservices.

What types of teams or projects do GraphQL developers typically collaborate on?

GraphQL Developers often work closely with both front-end and back-end engineering teams to design and implement unified API layers that streamline data fetching across multiple services. They may also engage with product managers, UI/UX designers, and QA engineers to ensure that API schemas align with business requirements and deliver an optimal user experience. Depending on the organization, you might collaborate on projects such as migrating legacy REST APIs to GraphQL, optimizing API performance, or building integrations with third-party services. This collaborative environment offers ample opportunities to learn from other specialties, contribute to broader architectural decisions, and potentially advance into technical leadership or API strategy roles.

What are the key skills and qualifications needed to thrive in the GraphQL position, and why are they important?

To thrive as a GraphQL Developer, you need strong proficiency in JavaScript or TypeScript, deep understanding of GraphQL concepts, and experience building scalable APIs, often supported by a background in computer science or software engineering. Familiarity with tools like Apollo Server, GraphQL Playground, and REST-to-GraphQL migration frameworks, as well as experience with cloud services and API management tools, is typically required. Strong problem-solving skills, effective communication, and a collaborative mindset will help you excel in cross-functional teams. These skills are crucial for designing efficient, maintainable APIs that meet evolving organizational needs while ensuring seamless integration with other systems.

What are the most commonly searched types of Graphql jobs in Illinois?

The most popular types of Graphql jobs in Illinois are:

What are popular job titles related to Graphql jobs in Illinois?

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

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

The top searched job categories for Graphql jobs in Illinois are:

What cities in Illinois are hiring for Graphql jobs?

Cities in Illinois with the most Graphql job openings:

Graphql jobs near you
Infographic showing various Graphql job openings in Illinois as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $128,274 per year, or $61.7 per hour.

Staff Data Engineer

NEWMARK

Chicago, IL • On-site

Full-time

Medical, Dental, Vision

Posted 12 days ago

Newmark rating

9.2

Company rating: 9.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

9th of 202 rated real estate companies

Job description

Responsibilities
  • Own and drive the technical architecture for complex, cross-team data initiatives spanning ingestion, transformation, storage, and serving layers.
  • Design, build, and maintain scalable, high-performance data pipelines and distributed data platforms in a cloud-native environment (Azure, AWS, or GCP).
  • Architect and lead enterprise Master Data Management (MDM), including golden records, entity resolution, data domains, reference and hierarchy management, and stewardship, to create trusted, authoritative data across the business.
  • Architect and integrate agentic AI and LLM-driven workflows (autonomous agents, RAG pipelines, AI copilots) into data platforms and pipelines to drive efficiency and new capabilities.
  • Build and support the data foundations for machine learning and AI, including feature stores, vector stores, embeddings, and ML/LLMOps pipelines.
  • Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack to expose curated datasets to applications, analytics, and BI consumers.
  • Set engineering standards and best practices for data quality, modeling, testing, observability, and deployment across the organization, including responsible use of AI-assisted development tools.
  • Establish data governance, lineage, cataloging, and quality frameworks across the data estate.
  • Lead technical design reviews and provide architectural guidance to multiple engineering and data teams.
  • Partner with product, analytics, and engineering leadership to translate business strategy into scalable data roadmaps, including AI-driven capabilities.
  • Identify and resolve systemic performance, reliability, and scalability issues across the data stack.
  • Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on data engineering, MDM, and AI practices.
  • Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve delivery velocity and platform resilience.
  • Maintain awareness of emerging technologies and industry trends, particularly in agentic AI, master data management, and modern data platforms, and assess their applicability to the business.

Qualifications
Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred.
  • 12+ years of experience in data engineering or software engineering, with demonstrated experience architecting data platforms and pipelines at scale.
  • Expert-level SQL and strong proficiency in Python (Scala or Java a plus) for large-scale data processing and transformation.
  • Deep experience with cloud data platforms (e.g., Databricks, Snowflake, Synapse, BigQuery, Redshift) and cloud-native architecture patterns.
  • Deep understanding of distributed systems, data modeling (dimensional, data vault, lakehouse), and ETL/ELT architecture.
  • Hands-on experience designing and implementing Master Data Management (MDM) solutions, including entity resolution, match/merge, golden records, and reference/hierarchy management (e.g., Informatica, Reltio, Profisee, or similar).
  • Hands-on experience building or integrating agentic AI systems, LLM-powered applications, RAG pipelines, or AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).
  • Experience building backend data services and APIs (REST/GraphQL), with comfort working across the full stack.
  • Strong background with both relational (SQL) and NoSQL data stores, plus data lake/lakehouse formats (Delta, Iceberg, Parquet).
  • Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps/DataOps practices.
  • Proven track record of leading large-scale technical initiatives across multiple teams.
  • Demonstrated ability to mentor engineers and influence technical direction without direct reporting authority.

Preferred Qualifications
  • Experience with data governance, lineage, and cataloging tools (e.g., Unity Catalog, Microsoft Purview, Collibra, Alation).
  • Experience designing multi-agent systems, tool-calling architectures, or retrieval-augmented generation (RAG) pipelines.
  • Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka, Event Hubs, Kinesis, Flink, Spark Structured Streaming).
  • Experience building the data layer for ML/AI, including feature stores, vector databases, embeddings, and ML/LLMOps.
  • Familiarity with containerization and orchestration (Docker, Kubernetes) and workflow orchestration (Airflow, Dagster, dbt).
  • Prior experience in commercial real estate, fintech, or operations/transaction systems.
  • Track record of speaking, writing, or open-source contributions that demonstrate technical thought leadership, especially in applied AI or data.

Why Join Us?
  • Shape the technical direction of business-critical data platforms at enterprise scale, including master data management and next-generation agentic AI initiatives.
  • Be part of a high-impact team where ownership, innovation, and technical excellence drive success.
  • Competitive compensation, growth opportunities, and access to world-class engineering, data, and AI resources.
  • Collaborative Culture: Join a high-caliber team with deep expertise across data engineering, cloud, MDM, agentic AI, and distributed systems.
  • Growth & Learning: Access world-class learning resources and mentorship to advance your career.
  • Work-Life Balance: Flexible working hours and hybrid options.
  • Benefits: Comprehensive health, dental and vision insurance.

If you're passionate about architecting scalable data platforms, building trusted master data and agentic AI-driven solutions, and shaping engineering culture, we'd love to hear from you!
Apply now and help redefine the future of data and AI at scale!
Salary Language:
The expected base salary for this position ranges from $190,000 to $225,000 annually. The actual base salary will be determined on an individualized basis taking into account a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package, this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.).
Working Conditions: Normal working conditions with the absence of disagreeable elements.
Note: The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified.
Newmark is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
About Us
Newmark Group, Inc. (Nasdaq: NMRK), together with its subsidiaries ("Newmark"), is a world leading commercial real estate advisor and service provider to large institutional investors and other owners, global corporations and other occupiers, and lenders. Built with purpose and driven by excellence, Newmark's comprehensive platform is uniquely tailored to provide superior outcomes to clients. For the twelve months ended June 30, 2026, Newmark generated revenues of more than $3.6 billion. As of June 30, 2026, Newmark and its business partners together operated from over 195 offices with more than 10,000 professionals across four continents. Learn more at nmrk.com or follow @newmark.
Discussion of Forward-Looking Statements about Newmark
Statements in this document regarding Newmark that are not historical facts are "forward-looking statements" that involve risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements. These include statements about the Company's business, results, financial position, liquidity, and outlook, which may constitute forward-looking statements and are subject to the risk that the actual impact may differ, possibly materially, from what is currently expected. Except as required by law, Newmark undertakes no obligation to update any forward-looking statements. For a discussion of additional risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements, see Newmark's Securities and Exchange Commission filings, including, but not limited to, the risk factors and Special Note on Forward-Looking Information set forth in these filings and any updates to such risk factors and Special Note on Forward-Looking Information contained in subsequent reports on Form 10-K, Form 10-Q or Form 8-K.

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