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Databricks Software Jobs in Wheeling, IL (NOW HIRING)

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · On-site

$120K - $160K/yr

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer ... The role offers exposure to the full range of the software development life cycle, from development ...

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer ... The role offers exposure to the full range of the software development life cycle, from development ...

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

... Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site +1

... Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Wheeling, IL

Databricks Software information

See Wheeling, IL salary details

$49.7K

$115.8K

$171.9K

How much do databricks software jobs pay per year?

As of Aug 3, 2026, the average yearly pay for databricks software in Wheeling, IL is $115,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $134,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What job categories do people searching Databricks Software jobs in Wheeling, IL look for? The top searched job categories for Databricks Software jobs in Wheeling, IL are:
What cities near Wheeling, IL are hiring for Databricks Software jobs? Cities near Wheeling, IL with the most Databricks Software job openings:
Databricks Software jobs near you

Databricks Data Engineer, Risk Technology

CIBC

Chicago, IL • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.
At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
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 support the US Risk Management business. Working in a fast-paced environment, you will translate business requirements into robust technical solutions, leveraging Azure Databricks, Apache Spark, Delta Lake, and modern data engineering practices.
The role offers exposure to the full range of the software development life cycle, from development to testing to support.
CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 2 days per week on-site, while other days may be remote.
How You'll Succeed
  • Technical Skills - Make the link between business problems and technology solutions with a cloud-first mindset. Design, develop and maintain scalable batch and streaming data pipelines using Azure Databricks and Apache Spark. Build and optimize ETL/ELT frameworks to ingest data from multiple structured and unstructured source systems into cloud platforms. Engineer and publish curated datasets for consumption by business intelligence tools and downstream applications
  • Cloud Computing - Use the full range of Microsoft Azure Services with exposure to machine learning. Azure Certifications would be an asset (AZ-900).
  • Documentation - Comfortable documenting each step of the software delivery life cycle on wiki and our change management software ServiceNow.
  • DevSecOps - Write secure code following industry best practices and incorporate DevSecOps into your workflow.
  • Communication - write with precision and clarity. Express technical concepts to non-technical audiences.
  • Collaboration - build trusted working relationships with business stakeholders, technology partners, and external vendors.
  • Business Savvy - apply knowledge of banking and risk management to ensure alignment between business objectives and software requirements.
  • Continuous Learning - stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments.

Who You Are
  • You can demonstrate 5-7 years experience in. Software Engineering and have a relevant post-secondary degree.. You must be proficient in languages such as Python and bring hands-on experience with the Databricks platform implementing ETL processes. You must be comfortable writing SQL queries. Experience with PySpark or Spark SQL for data processing, along with Microsoft Azure, would be valuable. Experience working with databases, cloud computing, or application development/support would be particularly relevant.
  • It's an asset if you have experience with C# and .NET
  • You understand banking fundamentals. Exposure to risk management, capital stress testing, credit risk models, and regulatory compliance would be particularly relevant.
  • You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
  • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
  • You're digitally savvy. You seek out innovative solutions and embrace leading-edge technologies. You can easily adapt to new tools and trends.
  • You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
  • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

California residents - your privacy rights regarding your actual or prospective employment
At CIBC, we offer a competitive total rewards package. This role has an expected salary range of $120,000 - $160,000 for the Chicago market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which may also include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee's needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave and Vacation), Holidays and 401(k), in addition to other special perks reserved for our team members."
This position does not offer visa sponsorship.
#LI-TA
What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions
What you need to know
  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
  • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location
IL-Chicago, 70 W Madison St Fl 10
Employment Type
Regular
Weekly Hours
40
Skills
.NET Programming, Application Development, Applications Programming, Azure Blob Storage, Azure Devops, Databricks Platform, Data Lake, Microsoft Azure, Microsoft Azure Databricks, Microsoft Azure Portal, PostgreSQL, PySpark, Python (Programming Language), Python Software Development, Software Development, SQL Databases, Structured Query Language (SQL)

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