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Azure Databricks Jobs in New Jersey (NOW HIRING)

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Develop and optimize data processing workflows in Azure Databricks using PySpark . * Integrate data from multiple sources into a unified data platform. * Ensure data quality, security and compliance ...

Syntricate Technologies

Sr. Data Engineer

Montvale, NJ · On-site

$119K - $143K/yr

... • Azure Databricks and SQL. • Experienced data engineer with expertise in SQl/NoSQL processing using Azure technology stack. Qualifications : Required : • 8+ Year experience • Azure Data ...

Sogeti

Databricks Project Manager

New Brunswick, NJ · On-site

Lead the end-to-end delivery of Azure Databricks, data engineering, analytics, and AI initiatives, ensuring projects are completed on time, within scope, and within budget while delivering measurable ...

Accord Technologies Inc.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Develop, optimize, and maintain big data pipelines using Apache Spark, Azure Databricks, and related tools. * Write and deploy complex production systems in Scala, Java, or Python, ensuring high ...

NAVA Software Solutions

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Establishing the cloud connectivity between different system like ADLS ,ADF, Synapse, Databricks , Axway etc. * Hands on experience in Azure cloud services like Azure Data Factory or Azure Synapse ...

Winaxis

Cloud Engineer

Mount Laurel, NJ · On-site

$55.25 - $73.75/hr

Job Summary (Cloud Engineer - Mount Laurel, NJ, Vaspire Technologies/TCS): - Minimum 12+ years of experience required. - Expertise in building data pipelines using Azure Databricks and Azure Data ...

Keylent Inc

Tech Lead TECHM-JOB-29538

Branchville, NJ · On-site

... Azure Databricks experience if has will be added advantage • Should have experience of 2-3 BI life cycle implementations Qualifications : Required : • Having 7+yrs of relevant experience with ...

Argyllinfotech

Databricks Platform Architect

Jersey City, NJ · On-site

$67.50 - $88.75/hr

Implement CI/CD pipelines for Databricks using Azure DevOps, Jenkins, or GitHub Actions * Enable Infrastructure as Code using Terraform or equivalent * Standardize reusable frameworks and engineering ...

MDAEdge

Azure Cloud Developer

Princeton, NJ · On-site

$58.25 - $72.25/hr

Required : • Azure Data Factory • Azure Logic Apps • Azure Functions • Azure Service Bus • Azure SQL Database • SQL • Databricks • 3+ years' programming experience with JavaScript • ...

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Azure Databricks information

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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:

What job categories do people searching Azure Databricks jobs in New Jersey look for?

The top searched job categories for Azure Databricks jobs in New Jersey are:

Azure Databricks jobs near you
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.

Data Engineer

Noblesoft Technologies

Princeton, NJ • On-site

$120K - $144K/yr

Contractor

Re-posted 22 days ago

Job description

Job Title: Data Engineer
location : Princeton, NJ
 
Minimum Mandatory Skills: ADF, Data Bricks
Desired Skills: Python, PySpark
 
Key Responsibilities:
  • Design and implement ETL/ELT pipelines using Azure Data Factory.
  • Develop and optimize data processing workflows in Azure Databricks using PySpark.
  • Integrate data from multiple sources into a unified data platform.
  • Ensure data quality, security and compliance across all processes.
  • Collaborate with data architects, analysts and business teams to deliver reliable data solutions.
  • Monitor and troubleshoot data pipelines for performance and reliability.
  • Implement best practices for data governance, metadata management and data lineage.
Required Skills & Qualifications:
  • 6–8 years of experience in data engineering and data platform development.
  • Strong hands-on experience with Azure Data Factory, Azure Databricks and PySpark.
  • Proficiency in SQL and working with relational databases.
  • Experience with data modeling, data warehousing and big data processing.
  • Familiarity with Azure ecosystem (Data Lake, Synapse, Key Vault, etc.).
  • Strong problem-solving and debugging skills