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Entry Level Databricks Data Engineer Jobs in Chicago, IL

Databricks

Solutions Architect

Chicago, IL · On-site

$180K - $247.50K/yr

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 Architect

Chicago, IL · On-site

$180K - $247.50K/yr

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 ...

Syntricate Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Creating Azure Databricks services2. Reading & writing data from/to Azire Blob stroage & Azure ... data engineer-1. Creating Azure Databricks services2. Reading & writing data from/to Azire Blob ...

Concord IT Systems

Sr Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Role : Sr Data Engineer Location : Chicago IL (look for Nearby candidates) Hybrid (3 days office, 2 ... Azure, Databricks, ETL, Python or Hadoop, INFORMATICA or Abinitio, Data lake, SQL, - AWS S3 and ...

Diverse Lynx

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Data Engineer We are looking for a skilled Data Engineer to design and build scalable data ... Experience working outside of Databricks-only environments (ability to build solutions using native ...

Ampcus

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data Engineer to join our team in Chicago. The ideal candidate will have extensive ...

Zortech Solutions

Senior Data Engineer

Chicago, IL · On-site

$109.30K - $148.50K/yr

Senior Data Engineer Chicago, IL ONSITE FROM DAY 1 We need a STRONG database candidate who has good experience in Databricks + Python programming + Azure DevOps pipeline (CI/CD) Senior-level software ...

Georgia IT Inc

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Sr. Data Engineer Location: Chicago, IL Duration: 9-12 Months Primary Responsibilities: * Lead and ... Utilize Databricks and Spark for data processing tasks. * Collaborate closely with other data ...

Databricks

Solutions Engineer

Chicago, IL · On-site

$121.40K - $167K/yr

FEQ327R95 Solutions Engineer At Databricks, our core values drive everything we do; a culture of ... Operate as an expert in big data analytics to excite customers about Databricks. You will develop ...

VBeyond

Lead Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Lead Data Engineer. Location : Chicago IL , Locals only. Type: Contract * Snowflake/Snowpipe, SQL ... Lead development of Azure-based data platforms, including ADLS, ADF, Databricks, and CI/CD ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Pwc

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Diverse Lynx

AWS Data Engineer

Chicago, IL · On-site

$65/hr

Data Engineer (PySpark + AWS + Iceberg) Location : Chicago, IL Exp: 10+ Yrs Pay Rate: $65/hr No of ... Experience working outside of Databricks-only environments (ability to build solutions using native ...

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Entry Level Databricks Data Engineer information

See Chicago, IL salary details

$30.9K

$71.5K

$121.6K

How much do entry level databricks data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level databricks data engineer in Chicago, IL is $71,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $80,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.
What are the most commonly searched types of Databricks Data Engineer jobs in Chicago, IL? The most popular types of Databricks Data Engineer jobs in Chicago, IL are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Chicago, IL? For Entry Level Databricks Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Chicago, IL look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Chicago, IL are:
Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Chicago, IL as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 66% Physical, 7% Hybrid, and 27% Remote job distribution, with an average salary of $71,453 per year, or $34.4 per hour.
Solutions Architect

Solutions Architect

Databricks

Chicago, IL • On-site

$180K - $247.50K/yr

Full-time

Posted 11 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 differentiator
  • 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.)

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range
$180,000-$247,500 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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