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Contract Databricks Developer Jobs in Illinois (NOW HIRING)

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 ...

Accordion

Vice President, Data Platform

Chicago, IL · On-site

$112.50K - $200K/yr

... engineering, analytics, and platform ops. * Architectural stewardship ... Ensure adherence to medallion (bronze/silver/gold) patterns, data contracts, CI/CD for data, and ...

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site

$61.90K - $141K/yr

Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...

Booz Allen Hamilton

Data Engineer

O Fallon, IL

$61.90K - $141K/yr

Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...

Booz Allen Hamilton

Data Engineer

O Fallon, IL

$61.90K - $141K/yr

Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site

$61.90K - $141K/yr

Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...

West Monroe

Partnership Alliances Manager

Chicago, IL

$85K - $85.50K/yr

... Databricks. Your primary objective will be to enhance our digital services offerings and drive ... Support in-market sales pursuits with Business Developers and sales leaders. * Conduct analysis to ...

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Contract Databricks Developer information

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

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 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 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 the most commonly searched types of Databricks Developer jobs in Illinois? The most popular types of Databricks Developer jobs in Illinois are:
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:
Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Illinois as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution.
AI Architect

AI Architect

Cuboid IT Solutions

Chicago, IL • On-site

Contractor

Posted 21 days ago

Job description

Role: AI Architect
Experience : 12 + years
Location: Chicago, IL.- Day 1 onsite
Duration: Long term contract
 
  • We are seeking an AI Architect with proven experience in developing data and services in an enterprise and cloud environment. The ideal candidate will have extensive experience Design and Implement AI/ML Models and Algorithms and Expertise in Data Architecture.
  • Proven experience in developing data and services in an enterprise and/or cloud environment.
    • Lead the Architecture and Design:
    • Translate Business Needs/ QE needs into AI Solutions:
    • Design and Implement AI/ML Models and Algorithms: 
    • Data Architecture Expertise:
    • Collaborate and Lead:
  • Deep understanding of AI systems, model governance, and risk frameworks.
  • Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle, Postgres, SQL Server, SQL, Java, Python, Scala.
  • Strong working knowledge of data engineering technologies, data modeling tools, and ETL strategies.
  • Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders
 
 
Thanks
Arshiya Tabassum
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