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Trainee Databricks Data Engineer Jobs in DeKalb, IL

Senior Data Analyst

West Chicago, IL ยท On-site

$87.80K - $110.80K/yr

Provide SQL programming, under general direction, in the execution of data analysis that will ... Ability to program in Python and/or Databricks The Power of One starts with our people! To do ...

Software Developer - Junior Level

Aurora, IL ยท On-site

$66.90K - $86.90K/yr

Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

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Showing results 1-20

Trainee Databricks Data Engineer information

See DeKalb, IL salary details

$43.7K

$127.3K

$174.2K

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

As of May 28, 2026, the average yearly pay for trainee databricks data engineer in DeKalb, IL is $127,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 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 popular job titles related to Trainee Databricks Data Engineer jobs in DeKalb, IL? For Trainee Databricks Data Engineer jobs in DeKalb, IL, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in DeKalb, IL look for? The top searched job categories for Trainee Databricks Data Engineer jobs in DeKalb, IL are:
What cities near DeKalb, IL are hiring for Trainee Databricks Data Engineer jobs? Cities near DeKalb, IL with the most Trainee Databricks Data Engineer job openings:

Data Engineer - Direct-Hire

The Timberline Group Company

Aurora, IL โ€ข Hybrid

$114.40K - $137.30K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Business Intelligence Developer โ€“ Mid Level

Direct hire. Candidates will need to be able to get a Secret clearance, so US citizens only. Hybrid, so you will need to live within a reasonable commute to SAFB (Scott Airforce Base โ€“ in Shiloh Valley Township Il).

Seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

Responsibilities
  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
Requirements
  • Secret clearance is required.
  • Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
  • High level of proficiency in ETL processes and hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Strong problem-solving skills and ability to solve complex data-related issues.
  • Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.