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Databricks Jobs in Evanston, IL (NOW HIRING)

Tixy Services LLC

Databricks Architect-Migration

Chicago, IL · On-site

$66.75 - $87.75/hr

Databricks Architect Migration Chicago, IL (Hybrid) Long Term Contract We are seeking an experienced Databricks Architect with a strong background in data migration and cloud modernization. The ideal ...

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 ...

Resultant

Partner Sales Manager - Databricks

Chicago, IL · On-site +1

You sold Databricks into commercial enterprises - either at Databricks on the commercial or enterprise field team, at a Databricks SI partner, or at a competing platform where you ran into Databricks ...

Epsilon

Lead Databricks Platform Engineer

Chicago, IL · On-site

$105K - $139K/yr

We're hiring a Lead Databricks Administrator to own and evolve our Databricks platform across cloud environments. This is a high-impact role focused on driving platform standards, strengthening ...

West Monroe

Senior Architect, Databricks

Chicago, IL · On-site

$215K - $244K/yr

This is an excellent opportunity to work with clients developing Big Data strategy and roadmaps with emphasis on Databricks, while gaining exposure to a variety of industries including Healthcare, ...

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Showing results 21-40

All JobsDatabricks JobsDatabricks Jobs in Evanston, IL

Databricks information

See Evanston, IL salary details

$22.6K

$36.2K

$48.9K

How much do databricks jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks in Evanston, IL is $36,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $39,800.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What job categories do people searching Databricks jobs in Evanston, IL look for? The top searched job categories for Databricks jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Databricks jobs? Cities near Evanston, IL with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Evanston, IL as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $36,192 per year, or $17.4 per hour.

Databricks Architect-Migration

Tixy Services LLC

Chicago, IL • On-site

$66.75 - $87.75/hr

Other

Posted 6 days ago

Job description

Job Title: Databricks Architect Migration
Chicago, IL (Hybrid)
Long Term Contract
Job Description:
We are seeking an experienced Databricks Architect with a strong background in data migration and cloud modernization. The ideal candidate will design, develop, and implement scalable data solutions on the Databricks Lakehouse platform while leading migration initiatives from legacy data platforms to Databricks.
Key Responsibilities:
  • Design and implement Databricks-based data architectures and ETL/ELT pipelines.
  • Lead end-to-end migration projects from legacy data warehouses or big data platforms to Databricks.
  • Develop data pipelines using PySpark, SQL, Delta Lake, and Databricks Workflows.
  • Optimize data processing, performance, scalability, and cost.
  • Collaborate with business stakeholders, architects, and engineering teams to deliver high-quality solutions.
  • Ensure data governance, security, and best practices using Unity Catalog and CI/CD processes.
Required Skills:
  • 8+ years of experience in Data Engineering/Data Architecture.
  • 3+ years of hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark, SQL, Python, and Delta Lake.
  • Experience migrating platforms such as Hadoop, Snowflake, Oracle, SQL Server, Synapse, or Teradata to Databricks.
  • Experience with Azure Databricks (preferred), AWS, or Google Cloud Platform.
  • Knowledge of ETL tools, Git, Azure DevOps/Jenkins, and cloud data architecture.

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