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Databricks Engineer Jobs in New York (NOW HIRING)

1 point system

Databricks Engineer

Jersey City, NJ · Remote

ABSOLUTE MUST-HAVES (Please do not submit candidates without these): • 5-8 years of hands-on Databricks engineering experience (not light exposure) • Strong, recent Delta Live Tables (DLT ...

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 ...

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 ...

Treliant LLC

Databricks Engineer

New York, NY · Hybrid

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

Crox Consulting Inc

Azure Databricks Engineer

Edison, NJ · On-site

$60 - $65/wk

Azure Databricks Engineer Location: Jersey City, NJ - Hybrid (2 days Onsite) NOTE :: Must be available for face to face for screening and final round of interview Responsibilities: 1. Design and ...

Treliant LLC

Databricks Engineer

New York, NY · Hybrid

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

Treliant LLC

Databricks Engineer

New York, NY · On-site

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150K - $206K/yr

Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface ... Drive engineering integration work between Databricks and Azure product teams coordinating cross ...

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 ...

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Databricks Engineer information

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$65.1K

$122.1K

$222.1K

How much do databricks engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for databricks engineer in New York is $122,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $145,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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.
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Databricks Engineer jobs near you
Databricks Engineer

Databricks Engineer

1 point system

Jersey City, NJ • Remote

Contractor

Re-posted 3 days ago

Job description

ABSOLUTE MUST-HAVES (Please do not submit candidates without these):
• 5–8 years of hands-on Databricks engineering experience (not light exposure)
• Strong, recent Delta Live Tables (DLT) experience – building, rewriting, and optimizing DLT pipelines
• Experience with Lakehouse architecture, data ingestion, and data lake cleanup/refactoring
• Strong coding skills in SQL and Python within Databricks
• True builder profile (engineers who author pipelines, not just operate them)