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Contract Databricks Developer Jobs in Illinois (NOW HIRING)

VeeRteq Solutions Inc.

AI Architect

Chicago, IL · On-site

... Databricks, and Unity Catalog. · Design the Stardog Knowledge Graph model for schemas, mappings ... tenant isolation, and contract-honoring guardrails. · Define standards for grounding ...

New

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Document trust boundaries, data contracts, lineage, and permitted data movement between zones ... Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.

Northern Trust

Information Architect

Chicago, IL · On-site

Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI-Assisted Development * Leverage Snowflake Cortex / Databricks Genie (or similar) to help engineering ...

Northern Trust

Information Architect

Chicago, IL · On-site

Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI-Assisted Development * Leverage Snowflake Cortex / Databricks Genie (or similar) to help engineering ...

Northern Trust

Information Architect

Chicago, IL · On-site

Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI-Assisted Development * Leverage Snowflake Cortex / Databricks Genie (or similar) to help engineering ...

Cuboid IT Solutions

AI Architect

Chicago, IL · On-site

Chicago, IL.- Day 1 onsite Duration: Long term contract * We are seeking an AI Architect with ... Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle ...

SHR Consulting Group

Lead Data Architect

Virginia, IL · On-site

$155 - $180/hr

This position is CONTINGENT UPON CONTRACT AWARD. Candidates selected for consideration must be ... Databricks architecture or engineering certifications. Clearance Requirements * Must be able to ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Illinois

Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are popular job titles related to Contract Databricks Developer jobs in Illinois?

For Contract Databricks Developer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in Illinois look for?

The top searched job categories for Contract Databricks Developer jobs in Illinois are:

What cities in Illinois are hiring for Contract Databricks Developer jobs?

Cities in Illinois with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Illinois as of August 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

AI Architect

VeeRteq Solutions Inc.

Chicago, IL • On-site

Contractor

Posted 3 days ago

New

Job description

Job Title: AI Architect

Location: Chicago, IL (Hybrid, 3 days/week)

Experience: - 12-15 Years

Mandatory skills

· Stardog, Agentic AI, Knowledge Graph, ML

As an AI Architect, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.

Responsibilities: -

· Define the end-to-end Agentic AI and Knowledge Graph architecture.

· Design supervisor, planner, specialized agent, tool-use, and human-in-the-loop patterns.

· Define integration with VIP data platform, Orkes workflows, Databricks, and Unity Catalog.

· Design the Stardog Knowledge Graph model for schemas, mappings, recipes, rules, lineage, and contractual controls.

· Establish AI security, HIPAA, PHI protection, tenant isolation, and contract-honoring guardrails.

· Define standards for grounding, explainability, confidence scoring, evaluation, and observability.

· Guide reusable agent skills for source discovery, Epic mapping, recipe generation, quality, and remediation.

· Review solution designs, technical deliverables, and production-readiness.

Skills Required

· Enterprise architecture for Agentic AI, GenAI, ML, and data platforms.

· Multi-agent orchestration and human-in-the-loop architecture.

· Knowledge Graph, ontology, semantic modeling, and graph-based retrieval.

· RAG and hybrid retrieval using graph, vector, and structured data.

· Healthcare data, HIPAA, PHI, EHR/Epic, and clinical-data integration knowledge.

· Data engineering, metadata management, lineage, and data-quality concepts.

· API, microservices, event-driven, security, and cloud architecture.

· Strong stakeholder communication and architecture-governance skills.

Tool & Technology Exposure

Azure AI Foundry, LangChain, DeepAgents, Stardog, Orkes, Azure Databricks and PySpark, MLflow Unity Catalog Azure Blob Storage Azure Document Intelligence Dynatrace and OpenTelemetry GitHub and CI/CD Python, SQL, REST APIs, FHIR, HL7

Educational Qualifications: -

  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

· Technical certification in multiple technologies is desirable.