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Databricks Engineer Jobs in Queens, NY (NOW HIRING)

WorkNovas LLC

Sr. Databricks (Pyspark) Developer

New York, NY · On-site

$59.50 - $78.75/hr

Sr. Databricks Developer FTE Only Location: NYC, NY Qualifications & Requirements * Experience 5+ years of data engineering experience, with at least 3+ years of hands-on Databricks experience in ...

MDMS Recruiting

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer, Databricks Location: New York NY (3 days onsite), w2 only, local candidates only Duration: 6 Months Must have Data Modelling, Data Lake, Building Dashboard, and Databricks, Sales Comp ...

Overture Partners

DataBricks Data Engineer

New York, NY · On-site

$65 - $68/hr

This role is ideal for a hands-on engineer with deep expertise in Databricks, modern data engineering practices, and Sales Incentive Compensation (SIC) processes. Candidates with a proven track ...

Voktio

Databricks Data Engineer

Manhattan, NY · On-site

$75/hr

Design and manage Databricks data engineering solutions, including pipelines, data models, analytics, and Sales Incentive Compensation (SIC) processing. Key Responsibilities: * Build and optimize ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150K - $206K/yr

RDQ427R371 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ...

Databricks

Sr. Software Engineer- Backend

New York, NY · On-site

$165K - $219K/yr

P-1591 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

Sr. Forward Deployed Engineer

New York, NY · On-site

$182K - $250K/yr

Work with Engineering and Databricks Customer Support to provide product and implementation ... feedback and to guide rapid resolution for engagement specific product and support issues.

Databricks

Staff Backend Software Engineer

New York, NY · On-site

$190K - $261K/yr

P-1592 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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Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Queens, NY

Databricks Engineer information

See Queens, NY salary details

$62.1K

$116.5K

$211.8K

How much do databricks engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for databricks engineer in Queens, NY is $116,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $138,300.00 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 job categories do people searching Databricks Engineer jobs in Queens, NY look for?

The top searched job categories for Databricks Engineer jobs in Queens, NY are:

What cities near Queens, NY are hiring for Databricks Engineer jobs?

Cities near Queens, NY with the most Databricks Engineer job openings:

Databricks Engineer jobs near you

Sr. Databricks (Pyspark) Developer

New York, NY • On-site

WorkNovas LLC
See more jobs at WorkNovas LLCexternal

$59.50 - $78.75/hr

Full-time

Posted 17 days ago

Job description

Sr. Databricks Developer
FTE Only

Location: NYC, NY
Qualifications & Requirements
• Experience
5+ years of data engineering experience, with at least 3+ years of hands-on Databricks experience in production environments.
• Migration Expertise
Proven experience in migrating on-premises data systems to cloud platforms.
• Technical Skills
Strong proficiency in Python, PySpark, and SQL. Experience in converting legacy SQL dialects to Spark SQL is a plus.
• Cloud Knowledge
Familiarity with cloud computing concepts, preferably within Azure ecosystems. Experience integrating cloud functions or runtime services with data platforms is desirable.
• Best Practices & Tools
Solid understanding of CI/CD, data quality frameworks, and orchestration tools such as Databricks Workflows, Airflow, or dbt.
 
Preferred Skills
• Experience with large-scale data modernization programs
• Exposure to financial services or regulated data environments
• Strong problem-solving and stakeholder communication skills
• Investment banking background would be added advantage.