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Databricks Jobs in Chicago, IL (NOW HIRING)

Databricks

Manager, Sales Development

Chicago, IL · On-site

SLSQ426R414 The role requires a presence in our Chicago office, multiple days per week, on a hybrid schedule Databricks is looking for an experienced Outbound Sales Development Manager. You will be ...

Databricks

Solutions Architect

Chicago, IL

$65 - $85.50/hr

Mission Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data ...

Databricks

Solutions Engineer

Chicago, IL

FEQ327R95 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes ...

Deloitte

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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Databricks information

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$24.2K

$38.9K

$52.6K

How much do databricks jobs pay per year?

As of Jun 16, 2026, the average yearly pay for databricks in Chicago, IL is $38,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $42,800.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Chicago, IL? The most popular types of Databricks jobs in Chicago, IL are:
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Databricks jobs near you
Resident Solutions Architect - Healthcare & Life Sciences

Resident Solutions Architect - Healthcare & Life Sciences

Databricks

Chicago, IL • On-site

$65 - $85.50/hr

Full-time

Posted 13 days ago

Job description

Job Summary:
Databricks is a leading data and AI company that helps organizations unify and democratize data, analytics, and AI. As a Resident Solutions Architect in the Professional Services team, you will engage with clients to address their big data challenges using the Databricks platform, focusing on data engineering, data science, and cloud technology projects. Your role will involve consulting on architecture, guiding customers through implementation, and providing technical support to ensure successful project delivery.
Responsibilities:
• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
Qualifications:
Required:
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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