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Contract Databricks Developer Jobs in Franklin Park, IL

SCI SOLUTIONS GLOBAL

Data Engineer

Chicago, IL

$35 - $38/hr

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment Type: W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern ...

Eliassen Group

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 ...

Eliassen Group

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 ...

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.

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.

Deloitte

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... Collaborate with different teams on data contracts and schema agreements * Lead design and ...

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Contract Databricks Developer information

See Franklin Park, IL salary details

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How much do contract databricks developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for contract databricks developer in Franklin Park, IL is $61.16, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $67.64 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What cities near Franklin Park, IL are hiring for Contract Databricks Developer jobs?

Cities near Franklin Park, IL with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Franklin Park, IL as of July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $127,206 per year, or $61.2 per hour.

Databricks Developer (Greenplum Migration)

Nexxora Inc.

Chicago, IL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

URGENT REQ:

Senior Databricks Developer (Greenplum Migration)
Client: Epsilon
Location: Chicago, IL (Hybrid 2 Days Onsite per Week)
Start Date: August 10, 2026
Employment Type: Contract
We are seeking an experienced Senior Databricks Developer to join a high-impact enterprise data modernization initiative for our client, Epsilon. The ideal candidate will have proven experience migrating large-scale data platforms from Greenplum to Databricks and a strong background in cloud-based data engineering.
Key Responsibilities
Lead the migration of enterprise data warehouses from Greenplum to the Databricks Lakehouse Platform.
Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, Apache Spark, and PySpark.
Analyze existing Greenplum databases, SQL scripts, and stored procedures, and transform them into efficient Databricks solutions.
Build robust data ingestion, transformation, validation, and reconciliation frameworks.
Optimize Spark jobs and Databricks clusters for performance, scalability, and cost efficiency.
Collaborate with architects, business analysts, and cross-functional teams to deliver high-quality data solutions.
Ensure data quality, governance, security, and compliance throughout the migration lifecycle.
Participate in architecture discussions, code reviews, troubleshooting, and production support.
Create technical documentation, migration strategies, and implementation best practices.
Required Qualifications
7+ years of Data Engineering or Big Data development experience
Strong hands-on expertise with Databricks
Extensive experience with Apache Spark and PySpark
Mandatory: Experience migrating Greenplum to Databricks
Advanced SQL development and query optimization skills
Experience with Delta Lake, Unity Catalog, and Databricks Workflows
Experience building enterprise-scale ETL/ELT pipelines
Knowledge of Azure or AWS cloud platforms
Familiarity with Git, CI/CD, and Agile development methodologies
Excellent communication, collaboration, and problem-solving skills
Preferred Skills
Cloud data warehouse migration experience
Data governance and security best practices
Experience with orchestration tools such as Airflow or Azure Data Factory

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