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Temporary Databricks Data Engineer Jobs in New Jersey

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

... like Databricks and Microsoft Fabric • Demonstrated experience in data preparation and ... programming skills in Python and significant experience with microservice architecture, including ...

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

... engineering, and collaborating with AI teams to enhance data schemas for AI solutions ... like Databricks and Microsoft Fabric • Demonstrated experience in data preparation and ...

Data Engineer 2 - Guidewire

Edison, NJ · On-site

$116K - $139K/yr

Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions * Collaboration with cross-functional groups * Strong analytical ...

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

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Senior Data Engineer

Princeton, NJ · Hybrid

$111K - $151K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Lead Azure Data Engineer

Raritan, NJ · On-site

$65 - $84.75/hr

Lead Azure Data Engineer Experience: 10-12 Years Location: New Jersey Work Arrangement: Hybrid ... Azure Databricks * Azure Data Factory (ADF) * Azure Data Architecture * PySpark * SQL * Mandatory ...

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... Data Engineering or Data Platform development. * Strong hands-on expertise in Snowflake SQL ... Experience with Spark, Kafka, or Databricks. * SnowPro and/or AWS certifications. * Experience in ...

Showing results 41-60

Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

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

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

Data Engineer- Manager

KPMG US

Montvale, NJ • On-site

$119K - $143K/yr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services, known for fostering a supportive work culture. They are seeking a Data Engineer Manager to design and implement data pipelines, ensuring high-quality data input for AI solutions and collaborating with various teams to enhance data engineering practices.
Responsibilities:
• Take ownership of designing and implementing data pipelines focused on context engineering, transforming vast amounts of structured (e.g., transactional) and unstructured client data into high-quality inputs for our AI solutions
• Set the standard for data engineering excellence, establishing and evangelizing best practices for processing and modeling diverse data sets to be analyzed by advanced generative AI agents
• Serve as a key subject matter expert, collaborating closely with AI and solution architecture teams to define and deliver the specific data schemas and contextual payloads required by our AI orchestration frameworks
• Support the development of Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across knowledge systems to drive the use of context
• Champion data quality by developing and implementing rigorous validation frameworks to ensure the reliability of all data sources, which is critical for generating verifiable AI outputs
• Drive the product forward by personally prototyping and evolving our data engineering strategies, pioneering innovative techniques to handle complex data relationships and keep our context engineering capabilities state-of-the-art
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent professional experience in data engineering, with a proven track record of building data solutions that support AI-driven or advanced analytics systems
• Bachelor's degree from an accredited college or university
• Deep expertise in designing and building data pipelines that process both structured and unstructured data, preparing it for advanced AI consumption using cloud platforms like Databricks and Microsoft Fabric
• Demonstrated experience in data preparation and structuring for Retrieval-Augmented Generation (RAG) systems, with hands-on knowledge of tools like Azure AI Search and a strong understanding of how data integrates into AI agent workflows
• Strong, independent programming skills in Python and significant experience with microservice architecture, including building data APIs and interacting with asynchronous messaging systems
• Proficiency with Agile methodologies and SDLC tools (Azure DevOps, Git, CI/CD) combined with excellent problem-solving skills to articulate complex data concepts and influence technical direction (200TEC)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Engineering, Information Systems, or a related field
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.