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Remote Databricks Developer Jobs in Chicago, IL (NOW HIRING)

Purple Drive

Senior Data Engineer (Databricks)

Chicago, IL · Remote

$107K - $147K/yr

Chicago, IL / Remote Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data Engineer with strong expertise in Databricks, Apache Spark, SQL, and cloud-based ETL pipelines . The ...

Deloitte

Databricks Manager

Chicago, IL · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

... and Databricks , with a strong emphasis on lakehouse architecture, analytics engineering, and ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Databricks

Solutions Architect - Manufacturing

Chicago, IL · On-site +1

$65 - $85.50/hr

... remote candidates in other locations in various cities around the Central US. Mission We are ... Production programming experience in Python, R, Scala or Java * Nice to have: Databricks ...

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... like Databricks, Snowflake, or BigQuery * Comfort working in a remote, collaborative environment

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Chicago, IL

Remote Databricks Developer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

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

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are the most commonly searched types of Databricks Developer jobs in Chicago, IL? The most popular types of Databricks Developer jobs in Chicago, IL are:
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What cities near Chicago, IL are hiring for Remote Databricks Developer jobs? Cities near Chicago, IL with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you

Senior Data Engineer (Databricks)

Purple Drive

Chicago, IL • Remote

$107K - $147K/yr

Other

Posted 4 days ago

Job description

Overview:
Job Title: Senior Data Engineer (Databricks)
Location: Chicago, IL / Remote
Job Type: Full-Time
Job Summary
We are seeking a highly skilled Senior Data Engineer with strong expertise in Databricks, Apache Spark, SQL, and cloud-based ETL pipelines. The ideal candidate should possess strong software engineering fundamentals and experience building scalable, high-performance data engineering solutions in cloud environments.
Required Skills
  • Hands-on expertise in:
    • Databricks
    • Apache Spark
    • SQL
    • Cloud-based ETL pipelines
    • CI/CD implementation
  • Strong experience building scalable and distributed data engineering solutions
  • Strong software engineering and problem-solving skills
  • Experience with cloud platforms and modern data architectures
  • Knowledge of performance optimization, monitoring, and cost management
Key Responsibilities
  • Design, develop, test, and deliver high-quality data engineering solutions aligned with business needs
  • Build, optimize, and maintain scalable data pipelines using Databricks and Apache Spark
  • Architect distributed data processing frameworks ensuring reliability, scalability, and performance
  • Troubleshoot and resolve complex application and data issues through root cause analysis
  • Implement code reviews, engineering standards, and best practices to ensure maintainability and quality
  • Develop and support CI/CD pipelines, automated testing, and monitoring solutions for cloud data platforms
  • Optimize cloud data platform performance and operational costs
  • Mentor junior and mid-level engineers and contribute to continuous engineering improvements
Preferred Skills
  • Experience with Azure, AWS, or GCP data platforms
  • Exposure to Delta Lake, Data Lakes, or Lakehouse architectures
  • Familiarity with Agile/Scrum development methodologies

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