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Entry Level Databricks Data Engineer Jobs in Chicago, IL

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

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/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

Lead Data Product Engineer

Chicago, IL

$118K - $141K/yr

Overview The Lead, Data Product Engineer is a hands - on individual contributor role designed to ... and Databricks SQL preferred but not required) * 2+ years of hands - on experience working with ...

Data Solutions Engineer

Chicago, IL

$118K - $141K/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 ...

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

The Analytics Engineer role involves working with internal customers to understand their data needs ... in Data Vault 2.0 methodology • Experience with Cloud SQL platforms (Databricks, Snowflake ...

Must have experience in architecting and implementing data architecture, data engineering ... Databricks or similar technologies. Advanced Analytics and Data Visualizations * Extensive ...

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 ...

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,

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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 24, 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:
Application Support - SQL/Databricks/Tableau

Application Support - SQL/Databricks/Tableau

1 point system

Chicago, IL • On-site

Contractor

Posted 25 days ago


Job description

Key Responsibilities 
Provide Tier II and Tier III production support for enterprise data platforms, including SQL Server–based EDW, Databricks, Fivetran, Tableau, and Alteryx. 
Monitor data production environments and triage, troubleshoot, and resolve incidents to meet SLAs and minimize business impact. 
Execute and coordinate production deployments for Data and AI Engineering, including code and configuration promotions, following established change management and CAB processes. 
Perform root cause analysis (RCA) for incidents and partner with data engineers to drive permanent remediation. 
Support and repair data ingestion and processing pipelines, including job restarts, re‑runs, and connector remediation. 
Troubleshoot data availability, data quality, and performance issues impacting reporting and analytics. 
Own incident communications, including stakeholder updates, outage notifications, and post‑incident summaries. 
Maintain and improve runbooks, SOPs, and operational documentation for common production scenarios. 
Identify incident trends and recommend monitoring, alerting, and operational improvements. 
Collaborate with data engineers, BI teams, DBAs, and business partners to ensure platform stability and reliability