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Remote Azure Databricks Jobs in Illinois (NOW HIRING)

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 ... the Azure Cloud tools: ADF, Pyspark, databricks notebooks • 2+ Experience with Python and ...

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 ... PaaS, Synapse, Cosmos DB, Azure Data Factory, Databricks, HDInsight, Fabric, Power BI)

Samprasoft

Lead Dev Ops

Schaumburg, IL · On-site +1

$52 - $71.25/hr

Docker, Azure Kubernetes Service (AKS) * Databricks, Synapse * GitHub, Jenkins, Azure DevOps * ... e. remote work, rural, etc.) Schaumburg, IL (IL043) or Irvine, CA (CA160) Are you open to ...

Futran Tech Solutions Pvt. Ltd.

Snowflake DBA

Chicago, IL · On-site +1

Preferred in Chicago, Remote in US anywhere would be fine We are seeking a highly skilled Snowflake ... Experience with Databricks or Spark-based processing * Knowledge of data governance and compliance ...

ASTRONOMER INC

Sales Engineer

Chicago, IL · Remote

$200K - $250K/yr

... Azure) * Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD * Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar * 3-10 years total ...

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Remote Azure Databricks information

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

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

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

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What are the most commonly searched types of Azure Databricks jobs in Illinois? The most popular types of Azure Databricks jobs in Illinois are:
What are popular job titles related to Remote Azure Databricks jobs in Illinois? For Remote Azure Databricks jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Illinois look for? The top searched job categories for Remote Azure Databricks jobs in Illinois are:
What cities in Illinois are hiring for Remote Azure Databricks jobs? Cities in Illinois with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you

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