ZipRecruiter

Log In

1

Databricks Developer Jobs in New Jersey (NOW HIRING)

Sogeti

Databricks Developer

New Brunswick, NJ · On-site

Leverage Unity Catalog for data governance, access control, and metadata management across the Databricks environment What you will bring: * 6+ years of experience in data engineering or software ...

Tror AI for everyone

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 ...

Veracity

Azure Databricks Engineer

Berkeley Heights, NJ · On-site

$57.50 - $71.25/hr

Azure Databricks Engineer Job Location: Berkeley Heights, NJ, Omaha, NE, or Frisco, TX (100% Onsite ... Understanding of Azure DevOps tools in an Azure production setting. · Strong experience with Azure ...

VIVA USA INC

Databricks Engineer - Hybrid

Clifton, NJ · On-site

Databricks Engineer - Hybrid Mandatory skills: big data technologies, cloud platforms, AWS, Azure, Databricks platform, scalable analytics solutions, Spark, Unstructured format, Unity Catalog, Genie ...

Crox Consulting Inc

Azure Databricks Engineer

Edison, NJ · On-site

$60 - $65/wk

Qualifications: 1. 10+ years of prior experience as a developer in the required technologies (Azure Databricks, Python, PySpark, Datawarehouse Designing) 2. Solid organizational skills, ability to ...

Yantran LLC

Azure Databricks Engineer

Branchville, NJ · On-site

$55 - $68/hr

Azure Databricks Engineer (Day1 Onsite) Location: Branchville, NJ, Hartford, CA, Charlotte, NC ... Familiarity with Azure DevOps for CI/CD processes. * Experience with machine learning frameworks ...

Deloitte

Sr Databricks Data Engineer

Morristown, NJ

$117K - $141K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

VIVA USA INC

Databricks Engineer

Clifton, NJ · On-site

We are seeking a dynamic and highly skilled Databricks Engineer to join our data team. In this role, you will be at the forefront of designing, developing, and maintaining scalable big data solutions ...

Databricks

$56 - $72.25/hr

Become an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars

Databricks

$56 - $72.25/hr

Become an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars

next page

Showing results 1-20

All JobsDatabricks Developer JobsDatabricks Developer Jobs in New Jersey

Databricks Developer information

See New Jersey salary details

$21

$62

$80

How much do databricks developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for databricks developer in New Jersey is $62.43, according to ZipRecruiter salary data. Most workers in this role earn between $56.15 and $69.09 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are the most commonly searched types of Databricks Developer jobs in New Jersey? The most popular types of Databricks Developer jobs in New Jersey are:
What are popular job titles related to Databricks Developer jobs in New Jersey? For Databricks Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in New Jersey look for? The top searched job categories for Databricks Developer jobs in New Jersey are:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in New Jersey as of June 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $129,850 per year, or $62.4 per hour.

Senior Databricks Developer

Siritech Solutions Corp

New Brunswick, NJ

$56.25 - $74.25/hr

Full-time

Posted yesterday

Job description

Job Description:Seeking an experienced Senior Databricks Developer to lead the design, development, optimization, and management of enterprise-scale cloud data engineering solutions using Azure Databricks and Azure data services. The ideal candidate should possess strong expertise in Azure Databricks, Azure Data Lake, ADLS Gen 2, ETL/ELT development, cloud-native data pipelines, and enterprise data architecture. This role requires leading end-to-end data engineering initiatives, building scalable pipelines for structured, semi-structured, API, and unstructured datasets, supporting analytics and AI workloads, and collaborating with business and technical stakeholders to deliver reliable, scalable, and cost-efficient data solutions. The candidate will also drive data governance, quality standards, performance tuning, metadata management, and continuous improvement across cloud data environments.


Key Responsibilities:

  • Lead the design, development, and implementation of end-to-end data pipelines on Azure using Azure Databricks, Azure Data Lake, and ADLS Gen 2
  • Develop scalable ETL/ELT pipelines supporting structured, semi-structured, API-based, and unstructured data sources
  • Collaborate with Data Scientists, Business Analysts, architects, and stakeholders to translate business requirements into scalable technical data solutions
  • Optimize data workflows for performance, scalability, reliability, and cost-efficiency within cloud environments
  • Establish, maintain, and enforce enterprise data quality, governance, validation, and compliance standards
  • Provide technical guidance for data modeling, schema design, metadata management, and analytics-ready data structures
  • Support enterprise analytics, reporting, AI, and machine learning workloads through optimized data engineering solutions
  • Monitor, troubleshoot, and resolve issues related to production data pipelines and cloud-based integrations
  • Recommend performance improvements and optimization strategies for enterprise data workflows
  • Evaluate emerging Azure and Databricks technologies and recommend enhancements to enterprise data architecture


Additional Responsibilities:

  • Support enterprise cloud modernization and analytics transformation initiatives
  • Participate in architectural discussions, technical reviews, and solution planning sessions
  • Collaborate with engineering and analytics teams to improve scalability and operational performance
  • Maintain technical documentation, standards, and best practices for enterprise data engineering initiatives
  • Support continuous improvement and innovation within Azure cloud and Databricks environments


Required Skills:

  • Strong expertise in Azure Databricks and enterprise data engineering
  • Experience designing and developing ETL/ELT pipelines for enterprise environments
  • Strong experience with Azure Data Lake and ADLS Gen 2
  • Experience working with structured, semi-structured, API-based, and unstructured datasets
  • Strong knowledge of data modeling, schema design, and metadata management
  • Experience with cloud performance optimization, monitoring, and troubleshooting
  • Strong understanding of data governance, validation, and data quality standards
  • Experience supporting analytics, AI, and machine learning workloads using cloud data platforms
  • Strong collaboration, analytical, and problem-solving skills


Qualifications:

  • Senior-level experience in cloud-based data engineering and Azure Databricks environments preferred
  • Experience collaborating with business, analytics, and technical teams required
  • Experience supporting enterprise analytics and AI-driven workloads preferred
  • Strong cloud optimization and enterprise-scale data architecture experience preferred


Certifications:

  • Microsoft Azure certification preferred
  • Databricks certification preferred