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Entry Level Databricks Data Engineer Jobs in Chicago, IL

Push approved audiences from Databricks into downstream environments, enabling non-technical teams ... Science, Engineering, Mathematics, Economics) or equivalent experience. * 1-2 years of applied ...

Data Analyst

Chicago, IL ยท On-site +1

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Data Vault 2.0 methodology; * Experience with Cloud SQL platforms (Databricks, Snowflake,

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Data Vault 2.0 methodology; * Experience with Cloud SQL platforms (Databricks, Snowflake,

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Data Vault 2.0 methodology; * Experience with Cloud SQL platforms (Databricks, Snowflake,

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Data Vault 2.0 methodology; * Experience with Cloud SQL platforms (Databricks, Snowflake,

Senior Data Product Engineer

Chicago, IL

$109K - $148K/yr

Overview The Senior, Data Product Engineer is an individual contributor role focused on handling ... and Databricks preferred but not required) * Exposure to backend data systems such as data ...

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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 Jul 5, 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 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 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 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:

Senior Analyst, Data Enablement

Starcom Mediavest Group Germany Gmbh

Chicago, IL โ€ข On-site

$73K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Company Description
PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.
Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.
Job Description
As a key member of the Data Enablement team, you will play a critical role in the design, development, and ongoing evolution of core data products, including our classification engine and supporting data infrastructure. This role sits at the intersection of data engineering, data product development, and data governance, with a focus on building scalable, high-quality solutions that power downstream analytics and reporting. You will work hands-on with large, complex datasets to develop and maintain data pipelines, implement classification logic, and ensure data accuracy and consistency across systems.
Responsibilities
  • Contribute to the design, build, and maintenance of data pipelines and workflows supporting the classification engine and other core data products using Databricks and/or Snowflake
  • Develop and implement scalable classification logic and data transformation rules using SQL and/or Python
  • Ensure data quality, consistency, and integrity across datasets through rigorous QA, validation, and monitoring processes
  • Partner closely with Engineering, Business Intelligence, and Media teams to support and evolve data products and underlying data models
  • Troubleshoot and resolve complex data issues, identifying root causes and implementing long-term solutions
  • Work within Agile frameworks (Jira) to manage priorities, deliverables, and cross-functional collaboration

Qualifications
  • Hands-on experience working with Databricks and/or Snowflake, or similar modern data warehouse technologies
  • Proficiency in SQL and/or Python for data transformation and analysis
  • Experience working with large, complex datasets and building scalable data solutions
  • Exceptional attention to detail and a strong commitment to data accuracy and quality
  • Strong problem-solving skills with the ability to debug complex data and system issues
  • Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders
  • Ability to think critically about data structures, logic, and system design

Preferred but not required:
  • Experience with taxonomy, classification systems, or data governance frameworks
  • Experience with data visualization tools such as Datorama/MCI, Tableau, and Power BI
  • Familiarity with tools such as Alteryx
  • Experience working with media or marketing data (pharmaceutical experience is a plus, but not required)

Additional Information
Our Publicis Groupe motto "Viva La Diffรฉrence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $73,150.00 - USD $101,010.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/2/2026.