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Trainee Databricks Data Engineer Jobs in Lake Forest, IL

Donato Technologies Inc

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Skills & Experience · Total Experience: 10+ years in data engineering or related roles. · Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta ...

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries -- from public sector agencies to ...

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · On-site

$120K - $160K/yr

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Sidley

Data Engineering Manager

Chicago, IL · Hybrid

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Sidley Austin LLP

Data Engineering Manager

Chicago, IL · On-site

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with ... Work with Databricks for data processing. * Utilize AWS services like S3, CloudWatch, IAM, SNS, and ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture ...

1 point system

Data 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 ...

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Trainee Databricks Data Engineer information

See Lake Forest, IL salary details

$44.1K

$128.4K

$175.7K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for trainee databricks data engineer in Lake Forest, IL is $128,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Lake Forest, IL?

The most popular types of Databricks Data Engineer jobs in Lake Forest, IL are:

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For Trainee Databricks Data Engineer jobs in Lake Forest, IL, the most frequently searched job titles are:

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The top searched job categories for Trainee Databricks Data Engineer jobs in Lake Forest, IL are:

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Cities near Lake Forest, IL with the most Trainee Databricks Data Engineer job openings:

Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Lake Forest, IL as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,437 per year, or $61.7 per hour.

Databricks Data Engineer

Chicago, IL • On-site

Donato Technologies Inc
IT Services • 51 - 200 employees
Learn more about Donato Technologies Incexternal

$118K - $141K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Key Responsibilities
· Pipeline Development – Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
· Data Warehousing – Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) – design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
· Data Modeling – Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
· Performance Tuning – Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
· Governance & Quality – Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
· Collaboration – Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
· CI/CD & Automation – Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.

Required Skills & Experience
· Total Experience: 10+ years in data engineering or related roles.
· Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) – must have production level work.
· Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) – design, optimisation, and administration.
· Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
· Programming: Expert in Python and SQL – ability to write maintainable, production grade code.
· Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
· Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
· Version Control: Proficient with Git and collaborative development workflows.

Preferred Qualifications
· Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
· Knowledge of data mesh or data fabric architectures.
· Familiarity with BI tools (Power BI, Tableau, Looker).
· Databricks certification (e.g., Associate or Professional Data Engineer).
· Experience with dbt (data build tool) and transformation testing.
· Exposure to MLflow or MLOps practices.
Education & Soft Skills
· Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
· Strong communication skills
· Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword: 
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above

Apply