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Databricks Engineer Jobs in New Jersey (NOW HIRING)

SmartIT Frame

AWS/Azure Databricks Architect

Raritan, NJ · On-site

$66.25 - $87/hr

... engineering data governance performance optimization and enterprisegrade Databricks implementations Key Responsibilities Design and architect endtoend Databricks Lakehouse solutions across AWS and ...

Databricks

FEQ127R326 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

Movadogroup

Databricks Reporting Architect

Paramus, NJ

$64.50 - $83/hr

The Databricks Reporting Architect will be responsible for the hands-on design, development, and ... Collaboration with business stakeholders, SAP functional teams, and data engineering resources is ...

Databricks

$182K - $234K/yr

Experience working with Databricks

Movado Group

Databricks Reporting Architect

Paramus, NJ · On-site

$64.50 - $83/hr

The Databricks Reporting Architect will be responsible for the hands-on design, development, and ... Collaboration with business stakeholders, SAP functional teams, and data engineering resources is ...

Databricks

You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have * Alongside the Sales Director, you ...

Databricks

Serve as a deep technical counterpart in the field with strong working knowledge of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts ...

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Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in New Jersey

Databricks Engineer information

See New Jersey salary details

$60.4K

$113.3K

$206.1K

How much do databricks engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for databricks engineer in New Jersey is $113,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $134,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in New Jersey? For Databricks Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in New Jersey look for? The top searched job categories for Databricks Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Databricks Engineer jobs? Cities in New Jersey with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in New Jersey as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $113,332 per year, or $54.5 per hour.

Sr. Databricks Architect

Omm IT Solutions

Jersey City, NJ • On-site

$70.75 - $93/hr

Contractor

Posted 24 days ago

Job description

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\n PLEASE NOTE:
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  • It is a 100% Onsite position in Jersey City, NJ.
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    \n KEY REQUIRED SKILLS:<\/b><\/span><\/span><\/u>
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    • Databricks Platform Architecture, AWS Infrastructure (S3, IAM, VPC design, and PrivateLink).
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      \n JOB DESCRIPTION:<\/b><\/span><\/span><\/u>
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      \n We are seeking an experienced Sr. Databricks Architect to lead the design, deployment, and security architecture of enterprise\-scale Databricks platforms on AWS. The ideal candidate will possess deep expertise in Databricks infrastructure, cloud architecture, Terraform automation, and AWS networking while serving as the technical leader for customer architecture workshops and platform enablement sessions.
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      \n KEY RESPONSIBILITIES:<\/u><\/b>
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      • Design, deploy, and manage Databricks Classic and Serverless workspaces on AWS.
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      • Architect secure and scalable Databricks platform infrastructure, including networking, storage, identity, and access management.
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      • Develop and maintain reusable Terraform modules for provisioning AWS and Databricks resources.
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      • Implement Databricks platform security, including workspace isolation, cluster access controls, secret management, and secure networking.
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      • Lead architecture workshops, technical enablement sessions, and solution discussions with customer and stakeholder teams.
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      • Support Databricks security accreditation, governance, and compliance initiatives.
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      • Collaborate with cloud, network, infrastructure, and security teams to validate architecture and resolve deployment challenges.
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      • Produce architecture diagrams, deployment documentation, operational runbooks, and platform standards.
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      • Recommend infrastructure improvements, automation strategies, and cloud best practices.
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      • Ensure enterprise\-grade reliability, scalability, and security across the Databricks platform.<\/span><\/span><\/span>
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        Requirements<\/h3>\n
        \n REQUIRED QUALIFICATIONS:<\/u><\/b> <\/span>
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        • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.<\/b><\/span>
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        • 10+ years of experience in cloud engineering, platform engineering, or solution architecture.<\/span>
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        • 3-5 years of hands\-on experience architecting and deploying Databricks on AWS.<\/span>
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        • Strong experience deploying both Databricks Classic and Serverless workspaces.<\/span>
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        • Hands\-on experience with Terraform for infrastructure provisioning and Infrastructure as Code (IaC).<\/span>
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        • Deep understanding of AWS networking, storage, and identity services.<\/span>
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        • Strong expertise in Databricks security architecture and governance.<\/span>
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        • Experience leading technical workshops, architecture reviews, and stakeholder discussions.<\/span>
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        • Excellent problem\-solving, documentation, and communication skills.<\/span>
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          \n PREFERRED QUALIFICATIONS:<\/u><\/b><\/span>
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          • AWS Solutions Architect or Databricks certifications.<\/b><\/span>
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          • Experience implementing enterprise cloud security and governance frameworks.<\/span>
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          • Experience working in highly regulated industries such as banking or financial services.<\/span>
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          • Familiarity with CI\/CD pipelines and DevOps automation.<\/span>
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          • Experience designing multi\-account AWS environments.<\/span>
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          • Knowledge of cloud compliance standards and security best practices.<\/span>
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          • Experience mentoring engineering teams and establishing architecture standards.<\/span><\/span>
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