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Temporary Databricks Data Engineer Jobs in Chicago, IL

Data Engineer

Chicago, IL ยท 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 ...

Data Engineer - Senior Manager

Rosemont, IL ยท On-site

$124K - $280K/yr

... 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 ...

Data Engineer - Senior Associate

Rosemont, IL ยท On-site

$77K - $202K/yr

... 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 ...

Data Engineer - Senior Manager

Chicago, IL ยท On-site

$124K - $280K/yr

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

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer We are looking for a skilled Data Engineer to design and build scalable data ... Experience working outside of Databricks-only environments (ability to build solutions using native ...

Sr. Data Engineer

Chicago, IL ยท Hybrid

$118K - $141K/yr

AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data Engineer to join our team in Chicago. The ideal candidate will have extensive ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Senior Data Engineer - Quality

Chicago, IL ยท Hybrid

$100K - $150K/yr

The Senior Data Engineer - Quality is a hands-on technical role responsible for designing and ... Hands-on experience with data validation tools (Great Expectations, DQX - Databricks Data Quality ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF Role Overview The Senior Data Engineer will design, build, and optimize scalable data pipelines and ...

Databricks ETL Data Engineer Databricks, ETL , Python Scripting, Data Factory, Data Migration Role Descriptions: Job Title Azure Databricks ETL EngineerExperience5-8 years Job SummaryWe are seeking ...

Data Engineer

Chicago, IL ยท On-site

$120K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing * DevOps for data, GitHub, automated ...

Data Engineer

Chicago, IL

$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 ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of ... In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake ...

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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 Jun 16, 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

1 point system

Chicago, IL โ€ข On-site

$118K - $141K/yr

Contractor

Posted 19 days ago


Job description

Job Description:

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 structured and unstructured data ingestion into the Data Lakehouse
Implement scalable ingestion patterns (batch and event-driven) from internal systems, third-party APIs, and cloud sources
Develop data models (bronze, silver, gold layers) to support enterprise reporting, analytics, and downstream consumption
Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms
Design and implement data access controls, identity management, and secure data sharing mechanisms
Support API-based integrations and downstream data consumption patterns
Data Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and monitoring within Databricks pipelines
Ensure adherence to enterprise data governance standards, including lineage, metadata, and audit requirements
Support regulatory and compliance requirements (e.g., data integrity, privacy, and security controls)
Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M)
Automate data pipelines, deployments, and operational processes through CI/CD pipelines
Leverage cloud-native services (AWS/Azure) for data processing, storage, and event-driven architectures
Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and reliability
Support production data platforms, including incident resolution and root cause analysis
Ensure high availability, data integrity, and SLA adherence across enterprise data systems
CollaborationPartner with data architects, data scientists, BI teams, and business stakeholders to deliver data solutions
Participate in Agile ceremonies and contribute to iterative delivery of data products
Translate business requirements into scalable technical data solutions

Required Qualifications

8+ years of experience in data engineering, data platforms, or related roles
Hands-on experience with Databricks, Apache Spark (PySpark), and Delta Lake
Strong SQL and data modeling skills (relational and dimensional)
Experience building and supporting data pipelines in a cloud environment (AWS or Azure)
Experience with ELT/ETL tools (e.g., Fivetran, custom ingestion frameworks)
Familiarity with data orchestration tools (Airflow, Control-M)
Experience working in Agile development environments
Preferred QualificationsExperience in financial services or regulated environments (e.g., banking, risk, regulatory reporting)
Knowledge of data governance frameworks and tools (e.g., Collibra)
Experience with real-time or streaming data pipelines
Exposure to machine learning pipelines and feature engineering in Databricks
Cloud certifications (AWS, Azure, or Databricks)
Technical SkillsDatabricks (Lakehouse architecture, notebooks, jobs, Unity Catalog)
Spark / PySpark
SQL (advanced querying and optimization)