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Azure Databricks Jobs in New Jersey (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Mount Laurel, NJ · On-site

$113K - $136K/yr

Mount Laurel, NJ (3 Days onsite/week) Contract We are looking for a skilled Data Engineer with strong hands-on experience in Azure Databricks and Azure Data Factory to design, develop, and maintain ...

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 ...

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 ...

Campbell Soup Company

Data Engineer

Camden, NJ · On-site

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and validation of enterprise data. * Integrate data from multiple source systems into the Azure data ...

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 ...

Pepperidge Farm, Incorporated

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and validation of enterprise data. * Integrate data from multiple source systems into the Azure data ...

Campbell's

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and validation of enterprise data. * Integrate data from multiple source systems into the Azure data ...

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 ...

Abode Techzone LLC

Lead Databricks Engineer

Iselin, NJ · Hybrid

$104K - $137K/yr

We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline ...

Abode Techzone LLC

Lead Databricks Engineer

Iselin, NJ · Hybrid

$104K - $137K/yr

We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in New Jersey

Azure Databricks information

See New Jersey salary details

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How much do azure databricks jobs pay per hour?

As of Aug 13, 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.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

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 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 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.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

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.

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 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 74% Physical, 10% Hybrid, and 16% Remote job distribution, with an average salary of $123,327 per year, or $59.3 per hour.

Data Engineer

Futran Tech Solutions Pvt. Ltd.

Mount Laurel, NJ • On-site

$113K - $136K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Role: Data Engineer
Location: Mount Laurel, NJ (3 Days onsite/week)
Contract
Job Description:
We are looking for a skilled Data Engineer with strong hands-on experience in Azure Databricks and Azure Data Factory to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will work closely with data architects, analysts, business stakeholders, and application teams to build reliable ETL/ELT workflows, transform large datasets, and enable analytics and reporting use cases.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks.
• Build ETL/ELT workflows for data ingestion, transformation, cleansing, enrichment, and loading into data lakes or data warehouses.
• Develop and optimize PySpark, Spark SQL, and SQL scripts for large-scale data processing.
• Integrate data from multiple sources such as databases, APIs, flat files, cloud storage, and enterprise applications.
• Implement incremental data loading, scheduling, parameterization, and reusable pipeline frameworks in ADF.
• Work with Azure Data Lake Storage, Delta Lake, and lakehouse architecture patterns for structured and unstructured data.
• Monitor, troubleshoot, and optimize data pipelines for performance, reliability, cost efficiency, and data quality.
• Collaborate with business users, data analysts, data scientists, and architects to understand requirements and deliver data solutions.
• Implement data validation, reconciliation, exception handling, logging, and alerting mechanisms.
• Follow coding standards, version control, CI/CD, and deployment best practices using tools such as Git and Azure DevOps.
• Ensure data security, access control, and compliance by applying Azure security best practices.
• Prepare technical documentation including data flow diagrams, mapping documents, pipeline design, and support guides.
Required Technical Skills:
• Strong hands-on experience with Azure Databricks, Databricks notebooks, clusters, jobs, and workflows.
• Strong experience in Azure Data Factory including pipelines, datasets, linked services, triggers, parameters, variables, and integration runtimes.
• Good programming experience in PySpark, Python, Spark SQL, and SQL.
• Experience working with Azure Data Lake Storage Gen2, Delta Lake, and data lakehouse concepts.
• Knowledge of ETL/ELT design patterns, data warehousing concepts, dimensional modeling, and data integration methods.
• Experience in performance tuning of Spark jobs, SQL queries, and ADF pipelines.
• Understanding of batch processing, incremental loading, CDC concepts, and data partitioning strategies.
• Experience with Git, Azure DevOps, CI/CD pipelines, and release management for data engineering solutions.
• Knowledge of data quality checks, monitoring, logging, and error handling frameworks.
• Basic understanding of Azure security concepts such as managed identities, service principals, Key Vault, RBAC, and private endpoints.
Preferred / Good-to-Have Skills:
• Experience with Azure Synapse Analytics, Azure SQL Database, SQL Server, or Snowflake.
• Knowledge of Unity Catalog, data governance, metadata management, and data lineage.
• Experience with streaming data processing using Kafka, Event Hubs, or Databricks Structured Streaming.
• Exposure to Power BI, reporting platforms, or analytics consumption layers.
• Experience working in Agile delivery models and cross-functional project teams.
• Microsoft Azure Data Engineer certification or Azure Databricks certification is an added advantage.

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