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Intern Databricks Data Engineer Jobs in Illinois

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Exposure to data engineering technologies such as Spark, Kafka, Airflow, dbt, Databricks, Snowflake ... Job Title Intern Data Engineer 2027 - AI & Data Analytics Date posted 14-Aug-2026 Job ID 128610 ...

New

Data Engineer

Chicago, IL

$130K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks' Data ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

SnowProcore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related field * A minimum of ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Showing results 41-60

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Databricks Data Engineer jobs in Illinois?

The most popular types of Databricks Data Engineer jobs in Illinois are:

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For Intern Databricks Data Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Intern Databricks Data Engineer jobs in Illinois look for?

The top searched job categories for Intern Databricks Data Engineer jobs in Illinois are:

What cities in Illinois are hiring for Intern Databricks Data Engineer jobs?

Cities in Illinois with the most Intern Databricks Data Engineer job openings:

Infographic showing various Intern Databricks Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Support Engineer (Databricks experience)

WorkNovas LLC

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 17 days ago


Job description

Position: Data Support Engineer (Databricks experience)

Location: Chicago, IL 6060

Duration: 6 months

Job Description:

A Data Application Support role specializing in Databricks focuses on maintaining, troubleshooting, and optimizing Spark-based data pipelines and Lakehouse architectures. Key responsibilities include resolving L2/L3 production incidents, performance tuning SQL/Python (PySpark) jobs, managing Delta Lake assets, and collaborating with data engineers to ensure data reliability.

Key Responsibilities

  • Incident & Problem Management: Provide L2/L3 support for data applications, resolving production issues and troubleshooting Databricks jobs, notebooks, and workflows.
  • Performance Tuning: Optimize Spark applications, SQL queries, and Delta Lake tables to improve efficiency and reduce costs.
  • Pipeline Maintenance: Monitor and troubleshoot ETL/ELT pipelines in Databricks (including Data Factory/Delta Live Tables), ensuring data quality and lineage (Unity Catalog).
  • Collaboration: Act as a liaison between users, data engineering teams, and platform engineering, providing technical expertise and contributing to documentation.
  • Automation: Create tools to automate routine support tasks and enhance support team productivity. Databricks +5

 

Required Qualifications & Skills

  • Technical Expertise: Strong hands-on experience with Apache Spark, Python/PySpark, and SQL.
  • Databricks Ecosystem: Proficiency with Databricks Unified Data Analytics Platform, Delta Lake, and ideally Azure Databricks.
  • Cloud Data Storage: Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake technologies.
  • Version Control & CI/CD: Experience with Git/Azure DevOps for code management.
  • Problem-Solving: Strong analytical skills, with the ability to diagnose complex data processing bottlenecks. 

 

"Nice-to-Have" Skills 

  • Data orchestration tools (e.g., Apache Airflow, Azure Data Factory).
  • Data governance tools (e.g., Unity Catalog, Collibra).
  • Streaming data knowledge (e.g., Spark Structured Streaming).