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Remote Azure Databricks Jobs in Montclair, NJ (NOW HIRING)

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

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All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in Montclair, NJ

Remote Azure Databricks information

Is Databricks a high paying job?

A remote Azure Databricks professional, such as a data engineer or data scientist, typically earns a competitive salary due to the specialized skills required, including expertise in cloud platforms, Spark, and data analytics. Salaries vary based on experience, location, and certifications but are generally above average for tech roles in data management and cloud computing.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, cloud environments, and data engineering can command higher salaries.

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.

Do Databricks have remote positions?

Remote positions for roles involving Azure Databricks are available, especially for data engineers, data scientists, and cloud specialists. Many companies offer remote work options for these roles, often requiring proficiency with cloud platforms, Spark, and data processing tools. Availability depends on the employer and specific job requirements.

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.

Is Azure Databricks in demand?

Azure Databricks professionals are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, cloud computing, and data engineering with Azure are valuable for these roles, which are often available in industries focusing on data-driven decision making.

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 job categories do people searching Remote Azure Databricks jobs in Montclair, NJ look for? The top searched job categories for Remote Azure Databricks jobs in Montclair, NJ are:
What cities near Montclair, NJ are hiring for Remote Azure Databricks jobs? Cities near Montclair, NJ with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you

Azure Databricks Platform Support Engineer 3641534

Axiom Path

New York, NY • Remote

$70 - $75/hr

Full-time

Posted 4 days ago

Job description

Be Part Of A High-Performing Team:

Join a technology organization supporting data and analytics platforms within a global financial services environment. This team is focused on building secure, scalable cloud infrastructure that enables application teams to use Azure and Databricks effectively. The environment combines hands-on technical support, infrastructure automation, platform governance, and close collaboration across engineering and application teams.

What's In Store For You:

  • Engagement: W2 only (no C2C/1099).
  • Fully remote work arrangement aligned primarily with Eastern Time business hours.
  • Opportunity to deepen experience across Azure, Databricks, Infrastructure as Code, CI/CD, and enterprise data-platform operations.
  • Exposure to cloud resource provisioning, Databricks governance, application onboarding, and process automation.
  • Long-term contract opportunity supporting a highly visible enterprise technology team.

How You Will Make An Impact:

  • Provide first-level technical support to application teams through ServiceNow, resolving common Azure and Databricks platform requests.
  • Gather technical requirements and guide application teams through the onboarding of new Data Landing Zones.
  • Execute pipelines, scripts, and Infrastructure as Code deployments to provision or modify Azure and Databricks resources.
  • Support the deployment of frequently requested cloud services using standardized, repeatable processes.
  • Automate recurring support activities to improve response times, reliability, and operational efficiency.
  • Troubleshoot access, permissions, authentication, deployment, and platform configuration issues.
  • Create and maintain clear documentation covering support procedures, workflows, and onboarding processes.
  • Partner with application developers, cloud engineers, and platform stakeholders to resolve requests and improve the user experience.

Do you bring proven success in Azure Databricks platform support?

  • 1–3 years of hands-on experience supporting or administering Databricks environments.
  • 1–3 years of experience working with Azure Data Factory.
  • Previous experience in application support, production support, cloud operations, or technical platform support.
  • Working knowledge of Microsoft Azure and familiarity with AWS or Google Cloud Platform.
  • Experience using Git-based source-control platforms such as GitHub, GitLab, or Azure Repos.
  • Ability to execute and troubleshoot deployment pipelines, scripts, and cloud provisioning workflows.
  • Strong analytical skills with the ability to gather requirements and translate them into technical actions.
  • Clear written and verbal communication skills, particularly when supporting application teams and documenting procedures.
  • Experience with Databricks Unity Catalog, role-based access control, authentication methods, or Delta Sharing is strongly preferred.
  • Experience with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK is preferred.
  • Familiarity with Azure DevOps, Jenkins, or GitHub Actions is preferred.
  • Scripting experience with Python, PowerShell, or Bash is preferred.