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Commission 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 ...

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 ...

New

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 ...

Showing results 41-60

Commission Databricks Data Engineer information

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

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

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:

Senior Data Engineer - Periscope

McKinsey & Company

Newark, NJ • On-site

$110K - $150K/yr

Full-time

Re-posted 20 hours ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants


Job description

Job Summary:
McKinsey & Company is a global management consulting firm that drives lasting impact and builds long-term capabilities with its clients. In this role, you will be a core member of Periscope’s technology team, responsible for designing, developing, and maintaining scalable data pipelines and systems, while leading data engineering projects from inception to completion.
Responsibilities:
• design, develop, and maintain scalable data pipelines and systems using Databricks on Azure
• implement and optimize ETL processes with a focus on performance, cost-efficiency, and reliability
• utilize advanced Databricks technologies (DLT, Unity Catalog, Delta Sharing, SQL Warehouse) to enhance data management and sharing capabilities
• lead and execute data engineering projects from inception to completion, ensuring timely delivery and high quality
• continuously monitor, troubleshoot, and improve data pipelines and workflows to ensure optimal performance and cost-effectiveness
• collaborate with cross-functional teams to understand data needs and deliver solutions that meet business requirements
• mentor, and educate junior engineers on best practices, emerging technologies, and efficient data engineering techniques
• work with client facing teams to help solve and deploy client specific solutions that integrate into the client’s internal systems
Qualifications:
Required:
• Bachelor’s or master’s degree in computer science, engineering or a related field
• 6+ years of experience in data engineering, with a strong background in big data technologies
• Proficiency in Databricks on Azure, Spark, Python, and Spark SQL
• Extensive experience with Delta Live Tables, Unity Catalog, Delta Sharing, and SQL Warehouse (server and serverless)
• Experience in handling large data volumes and orchestrating automated ETL using Azure Data Factory, Airflow / data pipelines using CI/CD and Cloud Technologies
• Development efficiency leveraging AI framework technologies
• Demonstrated ability to optimize performance and cost in large-scale data environments
• Proven track record of leading projects independently and mentoring junior team members
• Experience with cloud platforms, particularly Azure, and a solid understanding of cloud-native architectures
• Experience adopting software development best practices (e.g., modularization, testing, refactoring, etc.)
• Experience with data governance, security, and compliance in a cloud environment
• Familiarity in understanding BI framework
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What McKinsey & Company employees say

Pay

Benefits

Hours and flexibility

Workplace

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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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