1

Databricks Data Engineer Jobs in Aurora, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$175K - $225K/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

$175K - $225K/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

Lead Data Engineer

Chicago, IL · On-site

$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 ...

Data Engineer Lead

Chicago, IL · On-site +1

$51 - $89/hr

We're looking for a hands-on Data Engineer Lead to support an important Phase 0 discovery effort ... Strong Databricks experience. * Experience with SQL and NoSQL databases. * Experience working in ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Apply deep expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to ... Continuously improve on data engineering standards, developer productivity, automation, and ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

General Information

Chicago, IL · On-site

$118K - $141K/yr

Requirements: * 5+ years of data engineering experience, with at least 2 years of hands-on data pipeline design and development experience with Databricks, including specific -platform features like ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Dive deep into complex data processing routines on EMR and Databricks. You will actively fix ... Strong programming proficiency in Scala and/or Python. * Fluent SQL skills with the ability to ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Lake, Snowflake, BigQuery, Databricks) * Exposure to data quality testing, monitoring, or ...

New

Data Engineer - Chicago, IL (Hybrid)

Chicago, IL · On-site

$118K - $141K/yr

Position: Sr. Data Engineer Experience: -8+ Years Location: Chicago, IL(3 days/Week ... Work with Databricks for data processing. * Utilize AWS services like S3, CloudWatch, IAM, SNS, and ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Principal Data Engineer (New York)

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 ...

Showing results 41-60

Databricks Data Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do databricks data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks data engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Aurora, IL? The most popular types of Databricks Data Engineer jobs in Aurora, IL are:
What job categories do people searching Databricks Data Engineer jobs in Aurora, IL look for? The top searched job categories for Databricks Data Engineer jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Databricks Data Engineer jobs? Cities near Aurora, IL with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Data Engineer

IMC

Chicago, IL • On-site

$175K - $225K/yr

Other

PTO

Re-posted 15 days ago


Job description

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.
Core Responsibilities
  • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
  • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
  • Collaborate with development teams on data modeling, data ingestion, and capacity planning
  • Work with users to ensure data integrity and availability
  • Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience:
  • 5+ years experience working in a mature data engineering environment
  • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
  • 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
  • Experience with Apache Spark, Apache Flink or similar tools
  • Strong Java, Python, and SQL development skills
  • Experience with common data-science toolkits, especially python-based
  • Hands-on experience with Kubernetes and Docker
  • Experience with monitoring tools such as PrometheGrafana, Alert Manager, Alerta and OpsGenie
  • Strong statistical analysis skills
  • Demonstrated ability to troubleshoot and conduct root-cause analysis
  • Unix scripting experience (bash, python, etc.)

#LI-DNP
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$175,000-$225,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.