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Azure Databricks Jobs in New Jersey (NOW HIRING)

Guidewire Data Architect Databricks

Edison, NJ ยท On-site

$64.50 - $83/hr

Strong experience with Databricks, PySpark, Azure Data Factory, and modern data platforms. Experience in data architecture, data modernization, data governance, and migrating on-premises platforms to ...

Develop, support, and optimize data processing and analytics workloads using Azure Databricks * Implement and manage infrastructure using Terraform, following Infrastructure as Code (IaC) best ...

Lead DataOps Engineer

Millburn, NJ ยท On-site

$102K - $135K/yr

Expertise with client's core tools including Azure Databricks, Azure DevOps, GitHub, and data pipeline/orchestration tools * Data Operations expertise in a support role is required for this role

PySpark Developer

Iselin, NJ ยท On-site

$53.75 - $69.75/hr

Proven experience working with Azure Cloud services (Azure Data Factory, Azure Databricks, etc.). * Prior experience in the banking, investment banking, or financial services sector is mandatory.

PySpark Developer

Iselin, NJ ยท On-site

$53.75 - $69.75/hr

Proven experience working with Azure Cloud services (Azure Data Factory, Azure Databricks, etc.). * Prior experience in the banking, investment banking, or financial services sector is mandatory.

Sr Azure Data Engineer/Architect

Princeton, NJ ยท On-site

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

Sr Azure Data Engineer/Architect

Princeton, NJ ยท On-site

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

Utilize Azure DevOps, Azure ML, and Databricks to automate AI development and deployment workflows. * Optimize training and inference workloads for performance, scalability, and cost efficiency ...

Azure Data Engineer

Hamilton, NJ ยท On-site

$113K - $136K/yr

Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage ...

Data Engineer

Short Hills, NJ ยท On-site

$124K - $149K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Engineer 2 - Guidewire

Edison, NJ ยท On-site

$116K - $139K/yr

Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions * Collaboration with cross-functional groups * Strong analytical ...

Showing results 41-60

Azure Databricks information

See New Jersey salary details

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How much do azure databricks jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for azure databricks in New Jersey is $59.29, according to ZipRecruiter salary data. Most workers in this role earn between $53.70 and $66.63 per hour, depending on experience, location, and employer.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

What are the most commonly searched types of Azure Databricks jobs in New Jersey?

The most popular types of Azure Databricks jobs in New Jersey are:

What are popular job titles related to Azure Databricks jobs in New Jersey?

For Azure Databricks jobs in New Jersey, the most frequently searched job titles are:

Infographic showing various Azure Databricks job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $123,327 per year, or $59.3 per hour.

Guidewire Data Architect Databricks

Cyma Systems Inc

Edison, NJ โ€ข On-site

$64.50 - $83/hr

Other

Posted 25 days ago


Job description

Job Title: Guidewire Data Architect โ€“ Databricks

Job Location: Edison, NJ (Onsite 5 days a week)

Job Duration: Long Term

 

Job Description:

 

We are looking for a Guidewire Data Architect - Databricks experience and strong P&C Insurance domain expertise.

Key Requirements:

Strong experience with Guidewire Data Model and integrating Guidewire data into Databricks using CDA and other mechanisms.

4+ years of experience implementing end-to-end cloud-native data solutions using Azure and Databricks.

Strong experience with Databricks, PySpark, Azure Data Factory, and modern data platforms.

Experience in data architecture, data modernization, data governance, and migrating on-premises platforms to the cloud.

Good understanding of Data Warehousing, BI, Analytics, ETL/ELT, and Kafka.

Experience building Databricks CI/CD pipelines using Azure DevOps.

Knowledge of Data Mesh, Data Products, DataOps/MLOps is an added advantage.

Forward-thinking mindset with the ability to identify AI and advanced analytics opportunities using enterprise data