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Databricks Engineer Jobs in Lyons, IL (NOW HIRING)

Solutions Architect

Chicago, IL ยท On-site

$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 ...

Solutions Architect, Retail - CPG

Chicago, IL ยท On-site

$65 - $85.50/hr

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 ...

Solutions Architect - Manufacturing

Chicago, IL ยท On-site

$139K - $247K/yr

Production programming experience in Python, R, Scala or Java * Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The ...

Senior Architect, Databricks

Chicago, IL ยท On-site

$215K - $244K/yr

... Databricks, while gaining exposure to a variety of industries including Healthcare, Financial ... Collaborate with data science and engineering teams to productionize machine learning and ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Must be strong on Complex sql queries and Databricks Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF Role Overview The Senior Data Engineer will design, build, and optimize scalable data pipelines and ...

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Databricks Engineer information

See Lyons, IL salary details

$59.6K

$111.8K

$203.2K

How much do databricks engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for databricks engineer in Lyons, IL is $111,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $132,600.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What cities near Lyons, IL are hiring for Databricks Engineer jobs? Cities near Lyons, IL with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Lyons, IL as of June 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $111,755 per year, or $53.7 per hour.
Solutions Architect

Solutions Architect

Databricks

Chicago, IL โ€ข On-site

$65 - $85.50/hr

Other

Posted 18 days ago


Job description

FEQ227R155

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other Central/Midwest locations will also be considered.

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 science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Manufacturing team at Databricks.

The impact you will have:

  • Partner with the sales team to help customers understand how Databricks can help solve their business problems
  • Provide technical leadership for customers to evaluate and adopt Databricks
  • Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
  • Build and present reference architectures, how-tos, and demonstrate applications for customers
  • Become an expert in, and promote open source projects (Apache Spark, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
  • Travel to meet with customers in your territory

What we look for:

  • 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
  • Experience designing and architecting distributed data systems
  • Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
  • Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiatorย 
  • Experience building solutions with public cloud providers such as AWS, Azure, or GCP
  • Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
  • Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)