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Remote Databricks Developer Jobs in Illinois (NOW HIRING)

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks

Rethink

Senior Database Developer

Chicago, IL · On-site +1

Experience with Databricks (notebooks, jobs, or lakehouse patterns) * Experience with performance ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Independencepetgroup

Senior Data Engineer

Ohio, IL · On-site +1

$100K - $136K/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 ...

Independencepetgroup

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/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 ...

Solution Partners, Inc.

Solution Architect

Chicago, IL · On-site +1

$65 - $85.50/hr

Heavily remote based, with 1-2 days in office per month. Lead solution design and architecture for ... Databricks, cloud platform (Azure, AWS, Google Cloud Platform), and data engineering design ...

DoiT

Solutions Engineer, DoiT Cloud Intelligence

Chicago, IL · Remote

$57.50 - $76.75/hr

... US. (Fully remote) Who We Are DoiT is a global technology company empowering cloud-driven ... Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic ...

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All JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Illinois

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.
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Remote Databricks Developer jobs near you

Lead Data Engineer - Enterprise Cloud & AI Solutions - AIRLHV

NavitasPartners

Chicago, IL • On-site, Remote

$40/hr

Full-time

Posted 22 days ago

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.