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Intern Databricks Data Engineer Jobs in Illinois

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines ... Experience with Databricks. * Experience with Apache Kafka. * Hands-on experience with Apache ...

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... HDFS, Databricks, Iceberg, etc) * Experience with Apache Spark, Apache Flink or similar tools

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Senior Data Engineer (ETL / Python Developer) Remote (Must reside within the Continental U.S.) No ... Build scalable data pipelines using Python, Spark, and Databricks * Develop and optimize complex ...

Senior Data Engineer

Chicago, IL · On-site

$65 - $80/hr

The ideal candidate has strong expertise in Databricks, SQL, Python, and AWS, along with experience ... Support data engineering best practices and contribute to scalable, high-quality data solutions.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities * Collaborate with ...

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects ... Databricks. • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc. • Strong ...

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... Databricks, Iceberg, etc) • Experience with Apache Spark, Apache Flink or similar tools • ...

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ... Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability ...

Lead Data Engineer

Chicago, IL · Remote

$105K - $139K/yr

We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on Databricks and AWS. You will help shape enterprise analytics strategy, influence architecture, and partner ...

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.

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

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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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Inspire11

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted yesterday


Job description

Job Summary:
Inspire11 is a modern business and technology consulting firm that values creativity and collaboration. As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.