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Entry Level Databricks Data Engineer Jobs in Chicago, IL

Databricks

Solutions Engineer

Chicago, IL

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 ...

AHEAD

Associate Data Engineer

Chicago, IL · On-site

$80K - $88K/yr

Associate Data Engineer (Internally known as an Associate Technical Consultant) As an Associate ... Hadoop, Spark, Databricks, Snowflake) * Working knowledge of Cloud Solutions Experience in at least ...

Armaninollp

Data & AI Platform Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

Databricks

Solutions Architect - Manufacturing

Chicago, IL · On-site +1

$65 - $85.50/hr

An ability in data-driven business transformation, and driving change with data. * Production programming experience in Python, R, Scala or Java * Nice to have: Databricks Certification

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

... engineering and analytics initiatives. This role requires strong technical expertise, hands-on ... Python / PySpark : Skilled in data processing using Databricks or Jupyter Notebooks. * SQL

Epsilon

Data Solutions Engineer

Chicago, IL

$73.50K - $136.50K/yr

Build data expertise on subject matter and be able to speak to data warehouse constructs and data ... Databricks experience is a plus Click here to view how Epsilon transforms marketing with 1 View, 1 ...

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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 29, 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 Engineer

Solutions Engineer

Databricks

Chicago, IL

Other

Posted 25 days ago

Job description

FEQ327R95

Solutions Engineer

At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers-offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You'll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges.  Not just telling them what's possible, but building working prototypes and demos that prove it. You'll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data-and shape your future while you're at it!

This will be an in-office role and candidates must be based in our Chicago, IL office. Relocation assistance will not be provided.

Recent graduate?: We'd love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.

The impact you will have:
  • Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
  • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
  • Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
  • Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
  • Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
  • The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
  • Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
  • Hands-on experience with Python, Java, or Scala, and proficiency in SQLExperience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
  • Aptitude to interact with customers confidently and professionally
  • Can meet expectations for technical training and role-specific outcomes within 6 months of hire

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