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Contract Databricks Data Engineer Jobs in Naperville, IL

84.51

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Our data engineers use PySpark/Python, Databricks, Hadoop, Hive, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products ...

Dlapiper

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 ...

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 ...

84.51

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Our data engineers use PySpark/Python, Databricks, Hadoop, Hive, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products ...

IMC

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

Fitch Group

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 ...

Fitch Solutions

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 ...

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 ...

84.51 ̊

Lead Data Engineer

Chicago, IL · On-site

$125K - $207K/yr

84.51° Overview 84.51° is a retail data science, insights and media company. We help The Kroger ... Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to ...

84.51 ̊

Lead Data Engineer

Chicago, IL · On-site

$125K - $207K/yr

84.51° Overview 84.51° is a retail data science, insights and media company. We help The Kroger ... Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to ...

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Document trust boundaries, data contracts, lineage, and permitted data movement. * Support audits ... Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/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

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/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

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Showing results 41-60

All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Naperville, IL

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 Sep 2, 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 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 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:

Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Naperville, IL as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 25% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,523 per year, or $62.3 per hour.

Senior Data Engineer

84.51

Chicago, IL • On-site

$109K - $148K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products. Our data engineers use PySpark/Python, Databricks, Hadoop, Hive, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

Responsibilities

Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing applications as well as process improvement activities: Participate in the design and development of Databricks and Cloud-based solutions. Implement automated unit and integration testing. Collaborate with architecture and lead engineers to ensure consistent development practices. Provide mentoring to junior engineers. Participate in retrospective reviews.

Participate in the estimation process for new work and releases. Collaborate with other engineers to solve and bring new perspectives to complex problems. Drive improvements in data engineering practices, procedures, and ways of working.

Embrace new technologies and an ever-changing environment. Requirements 4+ years proven ability of professional Data Development experience 3+ years proven ability of developing with Databricks or Hadoop/HDFS 3+ years of experience with PySpark/Spark 3+ years of experience with SQL 3+ years of experience developing with either Python, Java, or Scala Full understanding of ETL concepts and Data Warehousing concepts Experience with CI/CD Experience with version control software Strong understanding of Agile Principles (Scrum) Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) Bonus Points Experience with Azure Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables Proficient with Relational Data Modeling Experience with Python Library Development Experience with Structured Streaming (Spark or otherwise) Experience with Kafka and/or Azure Event Hub Experience with GitHub SaaS / GitHub Actions Experience with Snowflake Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

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