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

... 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 ...

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 · 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 ...

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 ...

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

Data Engineer

Chicago, IL

$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

Bolingbrook, IL · On-site

$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 ...

New

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 ...

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 ...

Principal Data Engineer

Chicago, IL

$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 ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Distributed data processing and lakehouse architectures such as Databricks, Delta Lake, or Apache ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Distributed data processing and lakehouse architectures such as Databricks, Delta Lake, or Apache ...

Showing results 21-40

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.

$65.75 - $84.50/hr

Other

Posted 11 days ago


Job description

Job Title: Data Architect
Location: Chicago, Illinois
Contract

Primary Skills: Databricks Data platform, PySpark, AWS
:
Architect - Data Experience 13+ Years to work at the client place in Chicago,
Key Responsibilities.
  • We are seeking an experienced Architect - Data with 13+ years of experience in designing and delivering enterprise-scale cloud data platforms.
  • The ideal candidate should possess strong hands-on expertise in AWS, Databricks, and PySpark, ETL, DLT with the ability to lead technical solutioning, mentor engineering teams, and collaborate with client stakeholders to deliver scalable, secure, and high-performance data solutions.
  • Lead design and development of GenAI and Agentic AI solutions aligned with business objectives.
  • Understand client requirements and translate them into scalable technical solutions.
  • Drive architecture discussions, solution design, and technical strategy with stakeholders and clients. Collaborate with cross-functional teams to deliver AI-driven products and platforms.
  • Provide technical leadership, mentoring, and guidance to development teams.
  • Design and implement enterprise-scale data platform solutions using AWS, Databricks, and PySpark.
  • Ensure best practices in AI/ML architecture, integration, security, and scalability.
  • Define architecture, coding standards, and best practices for data engineering solutions.
  • Collaborate with Product Managers, Engineering Managers, Scrum Masters, and Technical Leads to achieve sprint and milestone commitments.
  • Lead architecture discussions, technical design reviews, and solution walkthroughs with client stakeholders.
  • Provide technical guidance to engineering teams and resolve complex technical challenges.
  • Ensure compliance with enterprise security, governance, and data management standards.
  • Mentor engineers and promote engineering excellence across the project.
  • Strong hands-on, experience in AWS, Databricks, PySpark, ETL, and Delta Live Tables (DLT).
  • Good understanding of modern data lakehouse architecture. Experience in data modeling, orchestration, and pipeline optimization.
  • Strong communication and stakeholder management skills. Ability to lead client discussions and provide solution-oriented approaches.
  • Experience in Agile delivery and team leadership. Strong experience in Generative AI, LLMs, AI Agents, and orchestration frameworks.
  • AWS, Databricks Architect, TOGAF Certification,..