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Trainee Databricks Data Engineer Jobs in Illinois

Data Engineer (Databricks on AWS)

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer (Databricks on AWS) Location: Chicago, IL (Local Candidates Only) Work Arrangement: Mostly Remote ( Must be available for an onsite interview and occasional meetings in Downtown Chicago ...

New

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

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 ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Must be strong on Complex sql queries and Databricks Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based ...

Senior Data Quality Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated ... in a Databricks environment. Key Responsibilities: • Build and maintain automated testing ...

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 ...

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

ADF Databricks Python SQL Retail experience would be helpful, but not required Job Title: Azure Data Engineer Job Summary: We are seeking a highly skilled Azure Data Engineer to design, build, and ...

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

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

... 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 ...

... 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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Trainee Databricks Data Engineer information

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 Illinois? The most popular types of Databricks Data Engineer jobs in Illinois are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Illinois? For Trainee Databricks Data Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Illinois look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Illinois are:
What cities in Illinois are hiring for Trainee Databricks Data Engineer jobs? Cities in Illinois with the most Trainee Databricks Data Engineer job openings:

Data Engineer (Databricks on AWS)

Optime Tech

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 3 days ago

New


Job description

Data Engineer (Databricks on AWS)

Location: Chicago, IL (Local Candidates Only)

Work Arrangement: Mostly Remote (Must be available for an onsite interview and occasional meetings in Downtown Chicago)

Duration: 6-Month Contract-to-Hire

Employment Type: W2 Opportunity Only (No C2C / No 1099)

Work Authorization: Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.

Job Summary

We are seeking an experienced Data Engineer with strong expertise in Databricks on AWS to design, build, and optimize enterprise-scale data engineering solutions. The ideal candidate will have extensive experience developing scalable data pipelines, implementing modern cloud-based data architectures, and working with large-scale distributed data processing technologies.

Candidates must already be local to the Chicago, IL area, as the role requires availability for an onsite interview and occasional meetings in Downtown Chicago.

Required Qualifications
  • 10+ years of IT experience with a strong Data Engineering background.
  • 4–6+ years of recent hands-on experience designing, building, and scaling enterprise data pipelines.
  • Strong hands-on experience with Databricks, including:
    • Apache Spark
    • Delta Lake
    • Unity Catalog
  • Strong experience with AWS services, including:
    • Amazon S3
    • IAM
    • AWS Networking
  • Strong proficiency in:
    • SQL
    • Python
    • Data Modeling
    • Distributed Processing
  • Experience building modern cloud-based Data Engineering solutions.
  • Strong experience developing ETL pipelines and enterprise data integration solutions.
  • Experience working in Agile development environments.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Delta Live Tables (DLT)
  • Databricks SQL
  • Workflow Orchestration
  • Apache Airflow
  • CI/CD
  • DevOps
  • Terraform
  • Lakehouse Architecture
  • Medallion Architecture (Bronze, Silver, Gold)
Additional Information
  • Local candidates to the Chicago, IL area only.
  • Must be available for an onsite interview in Downtown Chicago.
  • This is a W2 Contract-to-Hire opportunity