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Graphql Engineer 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 ...

Shure

Engineer Sr, Applications Systems Development

Niles, IL · On-site +1

$123K - $162K/yr

You'll also collaborate with other developers to enhance, modify and maintain the numerous ... Expose functionality to consuming applications via GraphQL and/or REST APIs * Research, model and ...

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Graphql Engineer information

What are the key skills and qualifications needed to thrive as a GraphQL engineer?

To thrive as a GraphQL Engineer, you need strong proficiency in JavaScript or TypeScript, deep understanding of GraphQL schema design, and experience with API development, typically supported by a relevant computer science degree or equivalent experience. Familiarity with tools like Apollo Server/Client, Relay, Node.js, and version control systems such as Git is essential, along with experience in RESTful APIs and cloud platforms. Excellent problem-solving skills, collaborative teamwork, and effective communication distinguish top performers in this role. These skills ensure robust, efficient API development and seamless integration across front-end and back-end systems, driving product scalability and user satisfaction.

What does a GraphQL engineer do?

A GraphQL Engineer specializes in designing, developing, and maintaining APIs using the GraphQL query language. They work on building efficient data-fetching systems that allow clients to request exactly the data they need from a server. GraphQL Engineers often collaborate closely with frontend and backend teams to optimize API performance, ensure data security, and streamline application development. Their responsibilities may also include schema design, implementing resolvers, and integrating GraphQL with various databases or services.

What is the difference between Graphql Engineer vs Backend Developer?

AspectGraphql EngineerBackend Developer
Primary FocusDesigning and implementing GraphQL APIsBuilding and maintaining server-side application logic
Skills & CertificationsGraphQL, JavaScript/TypeScript, API designServer-side languages (Java, Python, Node.js), database management
Work EnvironmentCollaborates with frontend teams, API developmentDevelops core backend systems, database integration
Industry UsageTech companies, startups, organizations adopting GraphQLBroadly used across industries for backend services

While both roles involve backend development skills, a Graphql Engineer specializes in creating and optimizing GraphQL APIs, whereas a Backend Developer focuses on overall server-side application development. The choice depends on whether the role emphasizes GraphQL technology or general backend systems.

What are some common challenges GraphQL engineers face when designing scalable APIs, and how can they be addressed?

GraphQL Engineers often encounter challenges ensuring that APIs remain performant and scalable as the complexity of queries and the number of clients grow. Common issues include over-fetching or under-fetching data, managing query complexity to prevent expensive operations, and maintaining clear schema documentation. These can be addressed by implementing query depth and cost analysis tools, optimizing resolvers, using efficient data loaders, and collaborating closely with frontend teams to refine schema design for real-world use cases. Regular code reviews and performance monitoring also help maintain a robust and scalable GraphQL API.

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

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

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

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Cities in Illinois with the most Graphql Engineer job openings:

Graphql Engineer jobs near you

Staff Data Engineer

NEWMARK

Chicago, IL • On-site

Full-time

Medical, Dental, Vision

Posted 11 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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