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Databricks Engineer Jobs in Hoboken, NJ (NOW HIRING)

Summitpointaiglobal

DataBricks Data Engineer

New York, NY

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing, and ...

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 ...

Jobgether

Data Engineer (Databricks)

Manhattan, NY · On-site

$80 - $90/hr

Our partner is looking for a Data Engineer (Databricks) based in Canada. As a Data Engineer, you will build and operate the data products that power audience solutions for leading brands and ...

New

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

$85 - $121/hr

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

New

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. 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 Hoboken, NJ

Databricks Engineer information

See Hoboken, NJ salary details

$65.1K

$122.1K

$222.1K

How much do databricks engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for databricks engineer in Hoboken, NJ is $122,134.00, 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 Hoboken, NJ?

For Databricks Engineer jobs in Hoboken, NJ, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Hoboken, NJ look for?

The top searched job categories for Databricks Engineer jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Databricks Engineer jobs?

Cities near Hoboken, NJ with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Hoboken, NJ as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,134 per year, or $58.7 per hour.

Databricks Platform Engineer

ExlService Holdings, Inc.

New York, NY • On-site

Full-time

Re-posted 13 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

138th of 500 rated business services

Job description


We are looking for a Databricks Platform Manager/Engineer responsible for designing, administering, securing, and optimizing the enterprise Databricks platform on AWS. The ideal candidate will own the platform lifecycle, ensuring scalability, security, governance, cost optimization, and operational excellence while enabling data engineering, analytics, and AI teams to work efficiently.
This role focuses on platform engineering rather than data engineering or analytics development.
Responsibilities
Platform Administration
  • Design, deploy, and manage Databricks workspaces across Development, Test, UAT, and Production environments.
  • Establish workspace standards, networking, and environment isolation.
  • Manage platform upgrades, including Databricks Runtime (DBR) version planning, testing, and rollout.
  • Maintain platform availability, reliability, and performance.

Compute & Cluster Management
  • Create and manage cluster policies to enforce organizational standards.
  • Configure instance pools and job clusters.
  • Prevent oversized or non-compliant clusters.
  • Standardize cluster configurations across teams.
  • Optimize cluster startup times and resource utilization.

Security & Identity Management
  • Integrate Databricks with AWS IAM.
  • Configure and manage authentication and authorization.
  • Manage service principals, personal access tokens (PATs), and secret scopes.
  • Implement least-privilege access controls.
  • Support enterprise identity management and SSO.

Governance & Data Access
  • Administer Unity Catalog.
  • Manage catalogs, schemas, tables, and permissions.
  • Implement role-based access control (RBAC).
  • Enforce data governance and access policies.
  • Support audit and compliance requirements.

DevOps & CI/CD
  • Configure Git integration with Databricks Repos.
  • Support CI/CD pipelines for notebooks, workflows, and infrastructure.
  • Collaborate with DevOps teams on automated deployments.
  • Enable Infrastructure as Code (IaC) using Terraform where applicable.

Monitoring & Operations
  • Monitor workspace health, jobs, clusters, and platform performance.
  • Respond to incidents and perform root cause analysis.
  • Maintain operational dashboards and alerts.
  • Support production releases and platform maintenance activities.

Cost Optimization
  • Monitor Databricks usage and cloud spending.
  • Recommend cluster sizing and auto-scaling strategies.
  • Optimize job scheduling and compute utilization.
  • Track cost trends and recommend savings opportunities.

Compliance & Audit
  • Configure audit logging.
  • Ensure platform complies with enterprise security policies.
  • Support internal and external audits.
  • Maintain operational documentation and platform standards.

Qualifications
Required Skills
5-10 years of overall IT experience, including 3-5+ years of hands-on experience administering and managing Databricks platforms in production environments on AWS.
  • Databricks Platform
  • Workspace administration
  • Cluster management
  • Cluster policies
  • Instance pools
  • Job clusters
  • Databricks Runtime management
  • Workflows
  • Databricks Repos
  • Unity Catalog
  • Secret Scopes
  • Service Principals
  • Personal Access Tokens (PATs)
  • AWS
  • IAM
  • VPC fundamentals
  • EC2 concepts
  • S3
  • CloudWatch
  • KMS
  • Security Groups
  • Networking fundamentals
  • DevOps
  • Git
  • CI/CD
  • Terraform
  • Infrastructure as Code
  • Azure DevOps, GitHub Actions, or Jenkins
  • Monitoring
  • Platform monitoring
  • Incident management
  • Log analysis
  • Performance tuning
  • Cost optimization
  • Required Experience

Candidates should have hands-on experience with:
  • Managing enterprise Databricks platforms
  • Setting up multiple Databricks workspaces
  • Configuring Unity Catalog
  • AWS IAM integration
  • Cluster policy creation and governance
  • Runtime version upgrades
  • CI/CD implementation
  • Git integration
  • Platform monitoring and troubleshooting
  • Secrets management
  • Audit logging
  • Production support
  • Cost optimization initiatives

Preferred Qualifications
  • Experience managing large-scale Databricks environments (100+ users).
  • Experience supporting multiple business units or enterprise data platforms.
  • Hands-on experience with Terraform for Databricks infrastructure provisioning.
  • Knowledge of Lakehouse architecture and Delta Lake.
  • Experience with FinOps practices for cloud cost optimization.
  • Familiarity with data governance and security frameworks.

Nice to Have
  • Experience with AWS Organizations and Control Tower.
  • Knowledge of networking concepts for private connectivity (PrivateLink, VPC endpoints).
  • Experience with monitoring tools such as CloudWatch, Datadog, or Splunk.
  • Exposure to Apache Spark internals.
  • Experience supporting AI/ML workloads on Databricks.
  • Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Certifications (Preferred)
  • Databricks Certified Data Engineer Professional or Databricks Certified Platform Administrator (if available).
  • AWS Certified Solutions Architect - Associate/Professional.
  • AWS Certified SysOps Administrator.
  • Terraform Associate certification.

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