ZipRecruiter

Log In

1

Temporary Databricks Data Engineer Jobs in Chicago, IL

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$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 ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM ... Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.). Strong ...

Addison Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Lead Data Engineer Industry: Transportation / Technology Location: Chicago, IL (Hybrid Preferred ... Build cloud-based data solutions utilizing Databricks and AWS technologies. * Create reliable, high ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

IMC

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

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects ... Databricks. • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc. • Strong ...

Capgemini

Data Engineer L2

Lincolnshire, IL · On-site

$250/hr

Lincolnshire, IL, United States (On-site) Contract (4 months 15 days) Published 18 days ago pyspark SQL GCP databricks PowerBI Role Overview We are seeking a highly skilled Onshore Data Engineering ...

1 point system

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 ...

Fitch Solutions

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 ...

previous page

Showing results 41-60

All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Chicago, IL

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 Sep 8, 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:

Temporary Databricks Data Engineer jobs near you

Data Engineer

Inspire11

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Inspire11 is a modern business and technology consulting firm that values creativity and collaboration. As a Data Engineer, you will design and build data foundations for analytics and AI, transforming raw data into analysis-ready assets while working with modern cloud platforms.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply