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Freelance Databricks Data Engineer Jobs in Chicago, IL

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture ...

Compunnel

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Summary We are seeking a hands-on Data Engineer to support AI and data initiatives focused on Azure and Databricks. The ideal candidate will have strong experience building scalable data ...

1 point system

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 ...

Pwc

Data Engineer - Senior Manager

Chicago, IL

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Manager

Rosemont, IL

$124K - $280K/yr

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

Pwc

Data Engineer - Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

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

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Development, Cloud Engineering & DevOps Cloud Platform: AWS (Compute, Storage ... Python, PySpark, SQL, Prefect, Snowflake, Snowpark, dbt, airbyte, Databricks on AWS DevOps Skills:

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Freelance Databricks Data Engineer information

See Chicago, IL salary details

$15

$49

$136

How much do freelance databricks data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for freelance databricks data engineer in Chicago, IL is $49.15, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $63.65 per hour, depending on experience, location, and employer.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are the most commonly searched types of Databricks Data Engineer jobs in Chicago, IL?

The most popular types of Databricks Data Engineer jobs in Chicago, IL are:

What are popular job titles related to Freelance Databricks Data Engineer jobs in Chicago, IL?

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

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

The top searched job categories for Freelance Databricks Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Freelance Databricks Data Engineer jobs?

Cities near Chicago, IL with the most Freelance Databricks Data Engineer job openings:

Freelance Databricks Data Engineer jobs near you
Infographic showing various Freelance Databricks Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, and 17% Contract. Highlights an 69% In-person, 6% Hybrid, and 25% Remote job distribution, with an average salary of $102,222 per year, or $49.1 per hour.

Manager, Field Engineering - MFG

Databricks

Chicago, IL • On-site

$172K - $237K/yr

Full-time

Re-posted 18 days ago

Job description

REQ ID - FEQ327R483
Location(s): Central US (Texas, Illinois, St. Louis)
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States.
The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers' Data + AI experiences forward.
As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
The impact you will have:
  • You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  • You will maintain a robust hiring pipeline at all times.
  • Establish relationships across the business to make your customers and team successful.
  • Partner with sales leadership to hit sales and consumption targets while ensuring customer success
  • Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs

What we look for:
  • 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
  • 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).
  • A deep technical understanding of the impact that Data + AI can drive within various industry segments
  • Technical competence to earn the trust of Engineering talent and leadership at Databricks.
  • Trusted advisor to technical executives who guide strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
  • Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.
  • Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.
  • Experience working with other teams such as Product Management, Engineering, and Customer Success.
  • Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range
$172,500-$237,150 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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