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Trainee Databricks Data Engineer Jobs in Lake Forest, IL

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 ...

New

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 ...

New

CIBC

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 US

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks , with a strong emphasis on lakehouse ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks , with a strong emphasis on lakehouse ...

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 ...

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 ...

Compunnel

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Summary We are seeking a hands-on Data Engineer to support AI and data initiatives focused on Azure and Databricks. The ideal candidate will have strong experience building scalable data ...

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 ...

Pwc

Data Engineer - Senior Manager

Rosemont, IL · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Manager

Chicago, IL · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Lake Forest, IL

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 12, 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:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Lake Forest, IL? For Trainee Databricks Data Engineer jobs in Lake Forest, IL, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Lake Forest, IL look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Lake Forest, IL are:
What cities near Lake Forest, IL are hiring for Trainee Databricks Data Engineer jobs? 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.

Data Engineer - Databricks

Resultant

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Posted 3 days ago

New

Job description

Company Description
Resultant is a modern consulting firm with a radically different approach to solving problems.
We don't solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they're striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We're Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
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 healthcare, financial services, and manufacturing. You'll work hands-on with the Databricks Data Intelligence Platform to turn messy, disconnected client data into governed, trustworthy, analytics- and AI-ready assets.
This is a client-facing consulting role. You'll partner with solution architects, data scientists, and project leads to gather requirements, design pipelines, and deliver production-grade solutions - then explain what you built and why it matters in language business stakeholders actually understand.
What You'll Do
  • Design, build, and optimize scalable ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake
  • Implement Medallion (Bronze/Silver/Gold) architecture patterns, applying data quality checks, schema evolution, and enforcement along the way
  • Build declarative pipelines with Delta Live Tables (DLT) and ingest streaming/incremental data using Auto Loader and Structured Streaming
  • Orchestrate and monitor production workloads using Databricks Workflows, integrating with tools like Airflow or Azure Data Factory where needed
  • Configure and maintain Unity Catalog for data governance - catalogs, schemas, access controls, lineage, and PII masking
  • Partner with data scientists to prepare feature-engineered, ML-ready datasets and support model deployment workflows using MLflow
  • Tune cluster configuration, job design, and Photon/serverless compute for performance and cost efficiency
  • Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and asset bundles (Git-based workflows, Azure DevOps, GitHub Actions, or similar)
  • Query, profile, and assess the quality of large, complex datasets from a wide variety of source systems
  • Collaborate with solution leads, architects, and project managers on solution design and technical architecture decisions
  • Participate directly in client-facing work: requirements gathering, solution reviews, and translating technical tradeoffs into plain-language business impact
  • Document solutions clearly - architecture diagrams, data flow documentation, code comments, and runbooks

Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
  • 2+ years of hands-on data engineering experience, including production work on the Databricks platform
  • Strong hands-on experience with PySpark and Spark SQL
  • Practical experience with Delta Lake fundamentals - ACID transactions, OPTIMIZE/Z-ORDER, partitioning, and schema evolution
  • Solid SQL skills across relational platforms (SQL Server, Postgres, Oracle, Snowflake, etc.)
  • Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services
  • Working knowledge of data modeling (dimensional modeling, 3NF) and ETL/ELT design principles
  • Strong communication skills and comfort working directly with clients and non-technical stakeholders
  • A collaborative, detail-oriented mindset with a bias toward solution quality and follow-through

Preferred / Nice-to-Have
  • Databricks Certified Data Engineer Associate or Professional
  • Experience with Unity Catalog, Delta Live Tables, and Auto Loader in production environments
  • Exposure to MLflow, Feature Store, or Databricks Vector Search for AI/ML-enabled use cases
  • Experience with Databricks Asset Bundles and CI/CD tooling (GitHub Actions, Azure DevOps, GitLab)
  • Familiarity with Terraform or other infrastructure-as-code tooling
  • Experience with dbt, Kafka/Event Hubs, or BI tools (Power BI, Tableau) connected to Databricks
  • Docker/Kubernetes experience for containerized workloads
  • Prior consulting experience, or comfort moving across multiple client engagements and industries

Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.

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