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Databricks Engineer Jobs in New Jersey (NOW HIRING)

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 ...

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 ...

Databricks

$56 - $72.25/hr

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the ...

TheStaffed

Databricks Architect

Jersey City, NJ · On-site

$67.50 - $88.75/hr

This role is primarily focused on Databricks platform architecture, Infrastructure-as-Code (Terraform), and enterprise platform engineering. Strong AWS networking expertise is beneficial but is not ...

Databricks

$105K - $145K/yr

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and ...

Databricks

CSQ427R212 Databricks is redefining what organisations can achieve with data and AI. As the unified ... engineer, providing the technical depth to coach and credibly support senior practitioners.

MM International

Hadoop Data Engineer

Iselin, NJ · On-site

AWS Glue, Python, PySpark, Databricks * Programming Languages: Python, Java, Scala, SQL, HiveQL * Data Integration & Migration: Experience with Hadoop, Kafka, data lakes, and real-time streaming

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in New Jersey

Databricks Engineer information

See New Jersey salary details

$60.4K

$113.3K

$206.1K

How much do databricks engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for databricks engineer in New Jersey is $113,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $134,500.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in New Jersey? For Databricks Engineer jobs in New Jersey, the most frequently searched job titles are:
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What cities in New Jersey are hiring for Databricks Engineer jobs? Cities in New Jersey with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in New Jersey as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $113,332 per year, or $54.5 per hour.

Azure Databricks Engineer

Tror AI for everyone

Iselin, NJ • On-site

$61 - $79.25/hr

Contractor

Re-posted 16 days ago

Job description

Job Role: 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 expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
  • Proficiency in Azure Cloud Services.
  • Solid Understanding of Spark and PySpark for big data processing.
  • Experience in relational databases.
  • Knowledge on Databricks Asset Bundles and GitLab.

Key Responsibilities:

  1. Data Pipeline Development:
    • Build and maintain scalable ETL/ELT pipelines using Databricks.
    • Leverage PySpark/Spark and SQL to transform and process large datasets.
    • Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
  2. Collaboration & Analysis:
    • Work Closely with multiple teams to prepare data for dashboard and BI Tools.
    • Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.
  3. Performance & Optimization:
    • Optimize Databricks workloads for cost efficiency and performance.
    • Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
  4. Governance & Security:
    • Implement and manage data security, access controls and governance standards using Unity Catalog.
    • Ensure compliance with organizational and regulatory data policies.
  5. Deployment:
    • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
    • Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.

Preferred Experience:

  • Familiarity with Databricks Runtimes and advanced configurations.
  • Knowledge of streaming frameworks like Spark Streaming.
  • Experience in developing real-time data solutions.

Certifications:

  • Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)