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Contract Databricks Data Engineer Jobs in Naperville, IL

... 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 ...

Lead Data Engineer

Chicago, IL ยท Hybrid

$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 ...

Lead Data Engineer

Chicago, IL ยท 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 ...

... 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 ...

Lead Data Engineer

Chicago, IL ยท 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 ...

Senior Data Engineer

Chicago, IL ยท Hybrid

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related field * A minimum of ...

Data Engineer II

Chicago, IL

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related field * A minimum of ...

Data Engineer II

Chicago, IL ยท On-site

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

Lead Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake ... What you'll do As a Lead Data Engineer, your responsibilities include: * Design, build, and ...

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 ...

Data Engineer

Chicago, IL ยท 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 ...

Lead Data Engineer

Chicago, IL ยท On-site

$200K/yr

In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake ... What you'll do As a Lead Data Engineer, your responsibilities include: * Design, build, and ...

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

Data Engineer

Chicago, IL ยท Hybrid

$118K - $141K/yr

Databricks Jobs/Workflows or Delta Live Tables. * Azure Data Factory for orchestration (pipelines ... Data engineering, data modeling, Agentic AI and automation, and data solution operationalization

Senior Data Engineer

Bolingbrook, IL ยท 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 ...

Senior Data Engineer

Bolingbrook, IL ยท 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 ...

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Contract Databricks Data Engineer information

See Naperville, IL salary details

$44.4K

$129.5K

$177.2K

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

As of Jul 21, 2026, the average yearly pay for contract databricks data engineer in Naperville, IL is $129,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,300.00 per year, depending on experience, location, and employer.

What are some 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.

What are Contract Databricks Data Engineers?

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 are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

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 popular job titles related to Contract Databricks Data Engineer jobs in Naperville, IL? For Contract Databricks Data Engineer jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Naperville, IL look for? The top searched job categories for Contract Databricks Data Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Contract Databricks Data Engineer jobs? Cities near Naperville, IL with the most Contract Databricks Data Engineer job openings:
Sr. Data Engineer (SQL / Databricks / PySpark)

Sr. Data Engineer (SQL / Databricks / PySpark)

ADDSOURCE

Chicago, IL โ€ข On-site

$118K - $141K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms

Experience: Minimum 8+ Years

Location: Chicago, IL (Hybrid 3 days Work from Office)

Duration: -12+ months

Educational Qualifications: - Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable.

Mandatory skills

ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting.

SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation. Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage).

PySpark: Distributed transformations and performance optimization (joins, partitions, debugging), CICD, Unit Test/Integration test automation, Code Coverage.

Azure Data Factory (ADF): Build/operate ADF pipelines, parameterization, triggers, monitoring, retry/error handling; integrate with Databricks/ADLS.

Databricks: Develop and operationalize notebooks/jobs/workflows; Delta Lake patterns; basic cluster/job configuration.

Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments

Roles and Responsibilities

Design, build, and support end-to-end data pipelines (ingestion, transformation, validation, publishing). Develop and optimize SQL and PySpark/Databricks transformations for large datasets.

Build production-grade Python components (reusable modules, logging, error handling, testing). Create and maintain Azure Data Factory (ADF) pipelines (triggers, parameterization, monitoring, failure handling).

Work within Azure environments (ADLS Gen2, Azure SQL, resource groups, portal operations).

Provision and maintain Azure components using Pulumi (Infrastructure as Code). Participate in code reviews, documentation, and operational support (triage + root cause analysis)

Nice to have skills: -

Ability to support/translate validation rules with SQL scripts and create data quality reports. TypeScript: Useful for pulumi pipeline to create Azure components.

Java: Useful for integration with existing services/components.

.NET: Useful for integration with existing services/components. Angular / Spring Boot: Minor troubleshooting or coordination with app teams.

Domain : Clinical (Health care)

VeeRteq Solutions is an Equal Opportunity Employer