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Databricks Engineer Jobs in New York (NOW HIRING)

RIT Solutions, Inc.

Data Bricks Engineer

Manhattan, NY · On-site

$126K - $151K/yr

RIT Solutions, Inc. is seeking a Databricks Engineer with Financial Services experience to design, build, and operate scalable and secure data and ML solutions on the Databricks platform. The role ...

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.

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Databricks Engineer information

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How much do databricks engineer jobs pay per year?

As of Sep 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 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 York?

For Databricks Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in New York look for?

The top searched job categories for Databricks Engineer jobs in New York are:

What cities in New York are hiring for Databricks Engineer jobs?

Cities in New York with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in New York as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,129 per year, or $58.7 per hour.

Data Bricks Engineer

Manhattan, NY • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$126K - $151K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Databricks Engineer with Financial Services experience to design, build, and operate scalable and secure data and ML solutions on the Databricks platform. The role involves collaborating with various stakeholders to deliver trusted AI solutions and production-grade AI workflows.
Responsibilities:
• Design, build, and operate scalable, secure, and governed data and ML solutions on the Databricks platform on Microsoft Azure.
• Partner closely with data engineering, CDAIO, architecture, data science, risk/compliance, and business stakeholders.
• Deliver trusted Agentic AI solutions and production-grade AI workflows leveraging Databricks MLflow, Lakehouse, Lakeflow, Feature Store, Unity Catalog, and Databricks Genie.
Qualifications:
Required:
• 5+ years in data engineering and/or platform engineering with significant hands-on Databricks experience in production.
• Demonstrated experience in Financial Services (banking, capital markets, ABS) with understanding of regulated data environments.
• Strong hands-on expertise with one or more of the following: Databricks Lakehouse architecture and Delta Lake, MLflow (tracking, registry, deployment workflow), Lakeflow (pipeline and workflow patterns), Databricks Feature Store, Unity Catalog (governance, permissions, lineage, auditing), Databricks Genie (enablement aligned to governance).
• Deep proficiency in Python and SQL; strong engineering practices (modular code, testing, code review, documentation).
• Experience on Azure (core services relevant to data platforms), with real-world operation of Azure Databricks.
• Practical expertise with data modeling, data quality management, and performance tuning for large-scale datasets.
Preferred:
• Experience with streaming (e.g., structured streaming patterns) and event-driven architectures.
• Knowledge of enterprise data governance and security controls (RBAC/ABAC patterns, encryption, key management, audit logging).
• Experience implementing CI/CD for Databricks assets (e.g., Git-based workflows, automated deployment, environment promotion).
• Familiarity with data and agent observability tooling and metrics (pipeline health, data freshness, schema drift, cost monitoring).
• Prior experience building reusable feature repositories and standardized ML templates in regulated environments.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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