1

Databricks Engineer Jobs in Montclair, NJ (NOW HIRING)

You will partner closely with Databricks Product and Engineering teams to shape the platform roadmap based on ecosystem insights and partner requirements. Your work will set the technical bar for the ...

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 ...

Senior Data Engineer (Azure & Databricks)

Manhattan, NY ยท On-site

$116K - $158K/yr

... Databricks, distributed data processing, and enterprise data architecture, along with the ability to lead large data initiatives and collaborate with engineering and business teams. You will work ...

next page

Showing results 1-20

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:
What job categories do people searching Databricks Engineer jobs in Montclair, NJ look for? The top searched job categories for Databricks Engineer jobs in Montclair, NJ are:
What cities near Montclair, NJ are hiring for Databricks Engineer jobs? Cities near Montclair, NJ with the most Databricks Engineer job openings:
Senior Partner Engineer, Databricks Alliance

Senior Partner Engineer, Databricks Alliance

Sigma

Manhattan, NY โ€ข On-site

$60.75 - $78.50/hr

Full-time

Posted yesterday


Job description

Job Summary:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. They are seeking a Senior Partner Engineer, Databricks Alliance, who will serve as the principal technical advisor and advocate for the Sigma-Databricks partnership, providing technical thought leadership and strategic guidance across the partnership lifecycle to drive revenue growth and customer success.
Responsibilities:
โ€ข Serve as the primary technical leader and advocate for the Sigma Computing/Databricks strategic alliance. Drive the mutual success of joint customers by ensuring seamless technical integration, optimal performance, and maximized utilization of the Databricks platform and Sigma.
โ€ข Cultivate and maintain robust technical relationships with key personnel at Databricks, including Product Management, Partner Leadership, Solution Engineering, and Sales teams, to ensure strategic alignment, drive co-innovation, and facilitate joint account mapping.
โ€ข Proactively collaborate with Sigma's GTM teams to identify, qualify, and technically support strategic joint customer opportunities. Develop and champion compelling technical GTM solutions, reference architectures, and partner-facing enablement content (e.g., training, workshops, internal demos).
โ€ข Proactively identify and scope high-value joint product opportunities and facilitate the handoff to the Partner Architect team for deeper technical engagement and development.
โ€ข Act as the internal authority on the Databricks platform, providing expert technical guidance and training to Sigma's Sales Engineering, Product, and Engineering teams on best practices for leveraging Databricks features in conjunction with Sigma. Own the creation and maintenance of technical resources for the field, including deep-dive enablement sessions (e.g., HOLs, workshops).
โ€ข Lead the technical creation of joint thought-leadership content, including webinars, blogs, solution briefs, demo vignettes, and presentations for major industry events (e.g., Data and AI Summit, Data and AI World Tours). Coordinate with Sigmaโ€™s Marketing and Demo Engineering teams to ensure high-quality technical representation at all joint GTM activities.
โ€ข Identify, design, and evangelize high-value, industry-specific technical solutions leveraging the combined capabilities of Sigma and Databricks, working with internal teams, Systems Integrator partners, and Databricks Industry Leads and Field CTOs to package these solutions for field consumption.
Qualifications:
Required:
โ€ข 5+ years of experience in a highly technical customer-facing or partner-focused role, such as Technical Alliance Management, Solution Engineering, Product Management, or Technical Consulting.
โ€ข Deep and current hands-on experience with the Databricks Data Intelligence Platform is mandatory. Proven understanding of its core architecture, features, and ecosystem integrations.
โ€ข Strong technical background in data analytics, data warehousing, business intelligence, and cloud data platforms.
โ€ข Prior experience working with BI and Analytics platforms is required; experience with Sigma Computing is a plus.
โ€ข Proven ability to develop and maintain strong, mutually beneficial technical relationships with key stakeholders at major partner organizations (e.g., Product, Engineering, Partner Sales).
โ€ข Exceptional communication and presentation skills, with the ability to translate complex technical concepts into clear, compelling business value for both technical and non-technical executive audiences.
โ€ข Demonstrated ability to be a self-starter who thrives in a fast-paced, high-growth startup environment and can manage multiple priorities independently.
โ€ข Willingness to travel up to 50% of the time for partner and customer engagements, and company/industry events.
Preferred:
โ€ข Prior Data Engineering and Front-End Software Development experience is preferred.
Company:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Sigma AI logo

About Sigma AI

Sourced by ZipRecruiter

Industry

It services

Company size

201 - 500 Employees

Headquarters location

San Francisco, CA, US

Year founded

2008