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Azure Databricks Jobs in New Jersey (NOW HIRING)

Azure Databricks Engineer Location: Jersey City, NJ - Hybrid (2 days Onsite) NOTE :: Must be available for face to face for screening and final round of interview Responsibilities: 1. Design and ...

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Azure Databricks Engineer Job Location: Iselin, NJ (Hybrid/Local candidates only) Job Type: Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills: * Strong ...

Azure Solution Architect

Jersey City, NJ · On-site

$66.25 - $86.25/hr

Azure Databricks Certified Solution Architect Location: Jersey City, NJ-Onsite/Hybrid Duration: Long Term Job Summary: We are seeking an experienced and certified Azure Databricks Solution Architect ...

AWS/Azure Databricks Architect

Raritan, NJ · On-site

$66.25 - $87/hr

AWS/Azure Databricks Architect Location Raritan NJ Omsite Role Summary We are looking for an experienced AWS Databricks Architect to design implement and optimize scalable Lakehouse solutions across ...

Azure Migration Architect

Jersey City, NJ · On-site

$69.50 - $90.50/hr

Responsibilities : • Architect Azure-Based Data/Ops Solutions: • Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Azure Data Engineer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

... Databricks, and other Azure services 4. Fluent with Big Data technologies like Spark, Kafka and Hive 5. Expert level skills writing and optimizing complex SQL Secondary skill- 1. Experience in ...

Azure Solution Architect

Montvale, NJ · On-site

$66.50 - $86.50/hr

Solid understanding and experience with Azure PaaS offerings, including Application Service Environments (ASE), SQL Database, SQL Managed Instance, Azure Databricks and Synapse Analytics, Azure ...

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 ...

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 ...

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Azure Databricks information

See New Jersey salary details

$11

$59

$81

How much do azure databricks jobs pay per hour?

As of Aug 8, 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:
Infographic showing various Azure Databricks job openings in New Jersey as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,327 per year, or $59.3 per hour.

Azure Databricks Architect

Tror AI for everyone

Jersey City, NJ • On-site

$66.25 - $86.25/hr

Contractor

Re-posted 13 days ago


Job description

Job Title: Azure Databricks Architect

Location : Iselin, NJ (Hybrid/Local candidates only)

The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform. This role requires deep expertise in cloud platforms (Azure/AWS/GCP), distributed data processing, Delta Lake architectures, and modern data engineering practices. The architect will collaborate with cross-functional teams to define data strategies, ensure platform reliability, and enable advanced analytics, ML, and BI use cases.

Key Responsibilities

  • Architecture & Design
  • Design end-to-end Databricks Lakehouse architectures for data ingestion, processing, storage, and consumption.
  • Define and implement Delta Lake patterns, including medallion architecture (Bronze/Silver/Gold).
  • Develop scalable data pipelines using PySpark, Spark SQL, and Databricks workflows.
  • Architect solutions for structured, semi-structured, and unstructured data.
  • Engineering & Implementation
  • Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and workflows.
  • Design and implement high-performance streaming solutions using Structured Streaming.
  • Optimize Spark jobs for cost, performance, and scalability.
  • Implement CI/CD and automation using Databricks Repos, Git, and DevOps pipelines.
  • Cloud & Platform Expertise
  • Architect solutions across Azure/AWS/GCP leveraging native cloud services (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).
  • Ensure security, governance, and compliance through Unity Catalog, RBAC, and encryption.
  • Monitor workloads and optimize cluster configurations for performance and cost.
  • Collaboration & Leadership
  • Work closely with data engineers, data scientists, BI teams, and business stakeholders.
  • Act as a subject matter expert (SME) for Databricks best practices, standards, and patterns.
  • Conduct architectural reviews and guide teams on design decisions.
  • Lead PoCs, evaluate new features, and drive platform adoption.
  • Quality, Governance & Observability
  • Define standards for data quality, lineage, observability, and governance.
  • Implement automated testing frameworks for pipelines and notebooks.
  • Establish performance baselines and monitoring dashboards.