2

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

Control-M Developer - Data Engienering

Edison, NJ · Remote

$50.50 - $69/hr

Remote Experience: 10+ years Duration: 6+ Months Employment Type: Contract Job Summary We are ... Snowflake, Databricks, BigQuery) * Knowledge of CI/CD tools (Git, Jenkins, Azure DevOps) * ...

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 ...

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 ...

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 ...

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 ...

Data Engineer (MedInsight)

Little Falls, NJ · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks ... Experience working with Azure or AWS cloud platforms. * Familiarity with data orchestration and ...

Sr. Database Administrator

Edison, NJ · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

Sr. Database Administrator

New York, NY · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ...

Strong hands-on expertise with Databricks, Snowflake, APIs, HL7, FHIR, and healthcare ... Cloud platform experience (Azure, AWS, or GCP). * Experience leading large-scale healthcare ...

Strong hands-on expertise with Databricks, Snowflake, APIs, HL7, FHIR, and healthcare ... Cloud platform experience (Azure, AWS, or GCP). * Experience leading large-scale healthcare ...

Strong hands-on expertise with Databricks, Snowflake, APIs, HL7, FHIR, and healthcare ... Cloud platform experience (Azure, AWS, or GCP). * Experience leading large-scale healthcare ...

next page

Showing results 1-20

Remote Azure Databricks information

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 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:

Senior Data Engineer - Cloud & AI Platforms - AIRLHV

NavitasPartners

New York, NY • On-site, Remote

$40/hr

Full-time

Posted 17 days ago


Job description

Senior Data Engineer – Cloud & AI Platforms

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

Overview:

We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases.

Key Responsibilities:

  • Architect and develop scalable data pipelines and cloud-native data solutions
  • Collaborate with data scientists, analysts, and business stakeholders
  • Ensure high performance, data quality, and governance across platforms

Required Skills:

  • Strong experience in data engineering and cloud-based architectures
  • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery
  • Proficiency in AWS, Azure, or GCP environments

Nice to Have:

  • Experience with ML/AI pipelines (Python, PyTorch, MLOps)
  • Exposure to GenAI frameworks such as LangChain or agent-based systems
  • Familiarity with AI governance and compliance standards

For more details reach at resumes@navitassols.com.