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Temporary Databricks Data Engineer Jobs in Chicago, IL

Data Engineer

Chicago, IL · On-site

$118K - $141K/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

Senior Data Engineer

Chicago, IL · On-site

$65 - $80/hr

The ideal candidate has strong expertise in Databricks, SQL, Python, and AWS, along with experience ... Support data engineering best practices and contribute to scalable, high-quality data solutions.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities * Collaborate with ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Data Engineer

Chicago, IL · Hybrid

$32 - $65/hr

Join a high-impact data engineering team supporting a payments migration initiative for an ... Develop and implement data pipelines using Databricks and Azure Data Factory. * Contribute to large ...

Databricks 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 ...

Principal Data Engineer

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 ...

Data Engineer

Lake Forest, IL · On-site

$95K - $158K/yr

As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ... Hands-on experience with at least one modern cloud data platform, such as Snowflake or Databricks ...

Principal Data Engineer

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... Databricks, Iceberg, etc) • Experience with Apache Spark, Apache Flink or similar tools • ...

Lead Data Engineer

Chicago, IL · Remote

$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 partner ...

Showing results 41-60

Temporary Databricks Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

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

As of Aug 10, 2026, the average yearly pay for temporary databricks data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Chicago, IL? The most popular types of Databricks Data Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Temporary Databricks Data Engineer jobs? Cities near Chicago, IL with the most Temporary Databricks Data Engineer job openings:

Data Engineer

IMC

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 16 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 Prometheus/Grafana, Alert Manager, Alerta and OpsGenie
  • Strong statistical analysis skills
  • Demonstrated ability to troubleshoot and conduct root-cause analysis
  • Unix scripting experience (bash, python, etc.)

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