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Databricks Engineer Jobs in Montclair, NJ (NOW HIRING)

Deloitte

Databricks Data Engineer

New York, NY

$125K - $150K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer

Morristown, NJ

$117K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks

Staff Backend Software Engineer

New York, NY · On-site

$190K - $261K/yr

P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

Databricks

Solutions Engineer

New York, NY · On-site

FEQ327R76 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Montclair, NJ

Databricks Engineer information

See Montclair, NJ salary details

$60.6K

$113.8K

$206.9K

How much do databricks engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for databricks engineer in Montclair, NJ is $113,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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 popular job titles related to Databricks Engineer jobs in Montclair, NJ? For Databricks Engineer jobs in Montclair, NJ, the most frequently searched job titles are:
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What cities near Montclair, NJ are hiring for Databricks Engineer jobs? Cities near Montclair, NJ with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
AI Engineer with Databricks

AI Engineer with Databricks

RIT Solutions

Manhattan, NY

Other

Posted 15 days ago

Job description

AI Engineer with Databricks

We are seeing a highly skilled senior AI Engineer to join our innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc.

Key Responsibilities:
  • Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
  • Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
  • Build and manage AI agents for automation and advanced conversational experiences.
  • Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
  • Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
  • Monitor and optimize AI model performance, ensuring reliability and accuracy.
  • Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
  • Ensure adherence to data privacy and security standards within all AI implementations.
Technical Skills and Qualifications:

· BS or MS in Computer Science, Engineering, or related fields

· Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)

· Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.

· Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.

· Strong understanding of NLPs, LLMs and RESTful API integration.

· Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI

· Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques

· Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.

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