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Databricks Engineer Jobs in Illinois (NOW HIRING)

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

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 ...

Showing results 41-60

Databricks Engineer information

See Illinois salary details

$57.7K

$108.2K

$196.7K

How much do databricks engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for databricks engineer in Illinois is $108,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $128,400.00 per year, depending on experience, location, and employer.

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?

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 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.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

What cities in Illinois are hiring for Databricks Engineer jobs?

Cities in Illinois with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Illinois as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $108,174 per year, or $52 per hour.

Data Engineer (Azure, Fabric, Databricks)

Collectiv

Chicago, IL โ€ข On-site, Remote

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Role Overview

The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks, with a strong emphasis on lakehouse architecture, analytics engineering, and semantic modeling. This role is client-facing and requires translating business requirements into scalable technical solutions while adhering to data engineering best practices.

You will collaborate with client stakeholders, Collectiv consultants, and cross-functional teams to deliver data platforms that support reporting, advanced analytics, and self-service BI.

Key Responsibilities

Client Delivery & Solution Design

  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
  • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
  • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
  • Translate business and analytical requirements into technical designs and data models

Analytics & BI Enablement

  • Develop and maintain semantic models that enable performant reporting and self-service analytics
  • Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or equivalent)
  • Ensure data quality, reliability, and usability across the analytics platform

Engineering Best Practices

  • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
  • Apply version control, CI/CD concepts, and code review standards to data engineering workflows
  • Ensure solutions meet quality criteria related to performance, scalability, and maintainability

Consulting & Collaboration

  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv

Required Qualifications

  • Bachelor's degree from an accredited university
  • 4+ years of experience in data engineering, analytics engineering, or data platform consulting
  • Hands-on experience with Microsoft Fabric and/or Databricks in production environments (experience with both strongly preferred)
  • Strong SQL skills, including performance tuning and optimization
  • Experience designing data models for analytics (star schemas, semantic models, lakehouse patterns)
  • Experience working in cloud data platforms (Azure preferred)
  • Ability to work independently in a client-facing consulting role

Preferred Qualifications

  • Experience migrating or modernizing data platforms (e.g., legacy DW to lakehouse)
  • Familiarity with Power BI dataset modeling and performance optimization
  • Experience integrating data platforms with downstream applications or APIs
  • Consulting experience with multiple clients or industries
  • Strong written and verbal communication skills
  • Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable

What Success Looks Like in This Role

  • Clients trust you as a technical advisor for their data platform decisions
  • Delivered solutions are scalable, well-documented, and aligned to best practices
  • Business users are enabled through reliable data models and analytics-ready datasets
  • You actively contribute to Collectiv's data platform standards and consulting excellence

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values:

Growth Mindset - Bring solutions, not problems.

Excel with Humility - Be humbly brilliant.

Communicate Actively and Empathetically - Listen, ask, understand, help.

Work Hard, Play Hard - Results are proportional to effort.

Keep Calm and Carry On - Stay cool, calm and Collectiv.



Employment Type: FULL_TIME