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Contract Databricks Data Engineer Jobs in Aurora, IL

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Responsibilities Data Engineering & Pipeline Development • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. • Build and ...

Data 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 ...

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

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Define data handling standards and document trust boundaries, data contracts, lineage, and ... Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

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

Data Engineer

Chicago, IL

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Contract Primary Skill: Databricks Data platform, PySpark, AWS Key Responsibilities. · We are ... engineering teams, and collaborate with client stakeholders to deliver scalable, secure, and high ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

SnowProcore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

Be Seen First

Define application, integration, cloud, data, security, and AI architecture. * Lead onsite/offshore engineering teams through design, development, testing, and deployment. * Identify modernization ...

Be Seen First

Define application, integration, cloud, data, security, and AI architecture. * Lead onsite/offshore engineering teams through design, development, testing, and deployment. * Identify modernization ...

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

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 ...

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 · 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 ...

Showing results 21-40

Contract Databricks Data Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

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

As of Sep 12, 2026, the average yearly pay for contract 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 contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are popular job titles related to Contract Databricks Data Engineer jobs in Aurora, IL?

For Contract Databricks Data Engineer jobs in Aurora, IL, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Aurora, IL look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Contract Databricks Data Engineer jobs?

Cities near Aurora, IL with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer job openings in Aurora, IL as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. 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

Villa Park, IL • On-site

Joint Commission
Health Care and Social Assistance • 1 - 5K employees

$107K - $143K/yr

Other

Posted 18 days ago


Key responsibilities

  • Design, develop, and maintain scalable data pipelines and data platforms using cloud technologies.

  • Collaborate with analytics, BI, and business teams to understand data requirements and translate them into technical solutions.

  • Build reusable data models and ensure data solutions align with security and compliance standards.


Job description

Overview
The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data
platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud
technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into
reliable data assets that support reporting, analytics, and operational needs.
Responsibilities
Data Engineering & Pipeline Development
• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and
Microsoft Fabric.
• Build and optimize data ingestion, transformation, and integration processes across structured and
unstructured data sources.
• Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud-
native platforms.
• Implement ETL/ELT best practices to ensure performance, reliability, and data quality.
• Automate data workflows and monitor pipeline health; identify and resolve issues promptly.
Collaboration & Solution Delivery
• Work closely with analytics, BI, and business teams to understand data requirements and translate them
into technical solutions.
• Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with
reporting and operational needs.
• Contribute to documentation of data structures, transformation logic, and system dependencies.
Technology Enablement & Best Practices
• Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data
engineering efficiency and scalability.
• Follow standards for code quality, testing, version control, and documentation.
• Apply data governance, quality, and reliability principles in daily engineering work.
Business Intelligence & Analytics Support
• Build reusable data models and curated datasets to enable self-service analytics.
• Ensure downstream BI teams receive accurate, well-structured, and timely data.
• Transform business requirements into scalable and maintainable technical designs.
Compliance & Security
• Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements. • Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.
Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 5-7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.
• Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.
• Strong knowledge of data lake, lakehouse, and data warehouse architectures.
• Solid understanding of ETL/ELT processes, data modeling, and metadata management.
• Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.
• Ability to diagnose data issues, optimize performance, and work with cross-functional technical and
business teams.
Preferred Certifications
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer
• Certifications related to data governance, risk, or compliance
• Master's degree in Computer Science, Information Systems, or related fields
Equal Opportunity Field
We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our Joint Commission Career Page
We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Min
USD $107,000.00/year
Max
USD $143,000.00/year