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Senior Databricks Data Engineer Jobs in New Jersey

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Data Pipeline Development: * Build and maintain scalable ETL/ELT pipelines using Databricks ... Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification ...

Interon IT Solutions

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Job title- Senior Data Engineer with MDM Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days ... Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Job Title: Data Engineer location : Princeton, NJ Minimum Mandatory Skills: ADF, Data Bricks ... Develop and optimize data processing workflows in Azure Databricks using PySpark . * Integrate data ...

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP. * Strong understanding of data ...

Databricks

$56 - $72.25/hr

You will report to the Sr. Field Engineering Manager for the team. The impact you will have ... Provide technical leadership for customers to evaluate and adopt Databricks * Consult on big data ...

Expeditors

Data Engineer III/Senior (Analytics)

Edison, NJ · On-site

$107K - $146K/yr

Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power ... Senior Data Engineer: * Bachelor's degree with 10+ years, Master's with 5+ years, or PhD with 3+ ...

Expeditors

Data Engineer III/Senior (Analytics)

Edison, NJ

$107K - $146K/yr

Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power ... Senior Data Engineer: * Bachelor's degree with 10+ years, Master's with 5+ years, or PhD with 3+ ...

Zortech Solutions

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Title: Azure Data Engineer Location: Iselin NJ - (3 Days from Office) Experience: 12+ Years ... Design, develop, and deploy Spark program in databricks environment to process and analyze large ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term ... Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ...

Stefanini Group

Data Engineer

East Hanover, NJ · On-site

$40/hr

Databricks, Google Cloud Dataproc, etc. * Experience with CI/CD, DevOps, and DataOps techniques ... Senior Talent Acquisition Specialist LinkedIn: linkedin.com/in/rachit-rastogi-a6497827 Email ...

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Senior Databricks Data Engineer information

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in New Jersey?

The most popular types of Databricks Data Engineer jobs in New Jersey are:

What are popular job titles related to Senior Databricks Data Engineer jobs in New Jersey?

For Senior Databricks Data Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in New Jersey look for?

The top searched job categories for Senior Databricks Data Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Senior Databricks Data Engineer jobs?

Cities in New Jersey with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Azure Databricks Engineer

Tror AI for everyone

Iselin, NJ • On-site

$61 - $79.25/hr

Contractor

Re-posted 9 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)