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

E-Solutions

Azure Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Remote long term contract Key Responsibilities: * Design, develop, and implement data platform ... Implement DevOps practices and CI/CD pipelines using GitActions. * Collaborate with cross ...

PeopleCaddie

Data Engineer - Manager

Chicago, IL · Remote

$80 - $85/hr

Fully Remote Rate: $80-$85/hour (C2C) Role Overview The Senior Data Engineer plays a critical role ... Databricks, HDInsight, Fabric, Power BI) * Informatica Cloud (CIH, DIH, CDGC, Master Data ...

Voluble Systems LLC

Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Location: 100% Remote Duration: Contract - 4 month project No OT: Only seeking candidates on a ... Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, Master Data ...

RIT Solutions, Inc.

Quality Engineer

Chicago, IL · Remote

$74.20K - $95.80K/yr

Remote Interview Mode: 2 rounds of virtual interview Type: Long term contract Minimum Position ... ADF, Pyspark, databricks notebooks • 2+ Experience with Python and libraries like Panads, Numpy ...

Independencepetgroup

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main ... Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud ...

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main ... Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud ...

Samprasoft

Lead Dev Ops

Schaumburg, IL · On-site +1

$52 - $71.25/hr

Databricks, Synapse * GitHub, Jenkins, Azure DevOps * Terraform, Helm * SonarQube, Fortify * Apache ... e. remote work, rural, etc.) Schaumburg, IL (IL043) or Irvine, CA (CA160) Are you open to ...

ASTRONOMER INC

Sales Engineer

Chicago, IL · Remote

$200K - $250K/yr

The work location for this role is based in the Chicago area and follows a remote work model. The ... Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar * 3-10 years ...

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

... and/or Databricks experience preferred. * Understanding of MLOps concepts including model ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Why Tech Companies Hire Our Candidates Today's employers are looking for developers, engineers, and ...

PAR Technology

Sr. Data Engineer

Chicago, IL · On-site +1

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements ... Spark, Databricks, Structured Streaming * Databases: Relational (Postgres) and NoSQL (DynamoDB ...

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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.

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 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.

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:
What are popular job titles related to Remote Databricks Developer jobs in Chicago, IL? For Remote Databricks Developer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Chicago, IL look for? The top searched job categories for Remote Databricks Developer jobs in Chicago, IL are:
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
Infographic showing various Remote Databricks Developer job openings in Chicago, IL as of May 2026, with employment types broken down into 2% Internship, 2% As Needed, 77% Full Time, 5% Part Time, and 14% Contract. Highlights an 39% Physical, 3% Hybrid, and 58% Remote job distribution.

Lead Data Engineer - Enterprise Cloud & AI Solutions - AIRLHV

NavitasPartners

Chicago, IL • On-site, Remote

$40/hr

Other

Posted yesterday

Job description

Lead Data Engineer - Enterprise Cloud & AI Solutions 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are looking for a Lead Data Engineer to support enterprise-scale cloud data and AI initiatives. This role will focus on delivering high-performance data solutions and enabling AI-driven innovation across business units. 

Key Responsibilities: 

  • Lead the design and deployment of cloud data platforms  
  • Develop scalable data pipelines and optimize performance  
  • Collaborate with architects, data scientists, and engineering teams  

Required Skills: 

  • Strong background in data engineering with tools like Databricks, Snowflake, or BigQuery  
  • Experience with cloud ecosystems (AWS, Azure, GCP)  
  • Hands-on implementation of large-scale data solutions  

Nice to Have: 

  • Experience with ML/AI engineering and MLOps pipelines  
  • Exposure to GenAI, LLMs, or agent-based AI systems  
  • Understanding of AI governance, compliance, and ethical AI practices 

For more details reach at resumes@navitassols.com.

Apply