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Databricks Engineer Jobs in New Jersey (NOW HIRING)

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 ...

Cyma Systems Inc

Guidewire Data Architect Databricks

Edison, NJ · On-site

$64.50 - $83/hr

Experience building Databricks CI/CD pipelines using Azure DevOps. Knowledge of Data Mesh, Data Products, DataOps/MLOps is an added advantage. Forward-thinking mindset with the ability to identify AI ...

Brillio

Databricks Architect - R01568474

Edison, NJ

$180K - $190K/yr

Databricks Architect Experience 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering ...

Brillio

Databricks Architect - R01568474

Edison, NJ · On-site

$180K - $190K/yr

Databricks Architect Experience 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering ...

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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 Sep 3, 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 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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,332 per year, or $54.5 per hour.

Field CTO - Public Sector

Databricks

On-site

Full-time

Re-posted 20 days ago

Job description

FEQ327R276

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Public Sector business to serve as a senior, customer-facing technology and mission transformation leader for strategic government and education accounts. This individual-contributor role sits at the intersection of data and AI strategy, mission modernization, public-sector operating models, and executive relationship building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks. The role will focus on helping agencies, departments, and public institutions use the Databricks Data Intelligence Platform to modernize data estates, strengthen security, improve operations, and deploy AI responsibly in support of mission outcomes.

Impact you will have:

  • Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including CIOs, CTOs, CDOs, CISOs, program executives, mission owners, and transformation leaders.
  • Shape executive thinking on secure data and AI modernization, emphasizing lakehouse and data platform modernization as a foundation for analytics, governance, and generative AI in public-sector environments.
  • Lead executive briefings, strategy sessions, and mission workshops that connect agency priorities, regulatory obligations, security requirements, budget realities, and workforce constraints to practical Databricks-based roadmaps.
  • 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, data scientists, and security stakeholders on design trade-offs.
  • Translate recurring customer needs into reusable public-sector reference architectures, solution blueprints, technical narratives, and thought leadership assets.
  • Partner with Account Executives, Solutions Architects,  product specialists, professional services, and ecosystem partners to drive complex, multi-year platform decisions, expansions, and mission programs.
  • Provide structured feedback from strategic public-sector customers into Product, Engineering, and Field leadership, especially around governance, security, compliance, interoperability, and public-sector feature requirements
  • Mentor senior field engineering talent and help codify playbooks for complex public-sector engagements, including executive discovery, mission-value framing, partner orchestration, and secure deployment patterns.
  • Represent Databricks externally with senior public-sector audiences through conferences, councils, roundtables, webinars, and executive forums.

What we look for:

  • 15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.
  • Significant experience working in or with U.S. public-sector institutions, such as federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.
  • Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.
  • Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.
  • Experience with public cloud environments such as AWS, Azure, or Google Cloud.
  • Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.
  • Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.
  • U.S. citizenship required and active clearance preferred 

Apply