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Data Engineer Project Jobs in New Jersey (NOW HIRING)

Senior Data Engineer - Periscope

Newark, NJ · On-site

$110K - $150K/yr

... engineering projects from inception to completion. Responsibilities : • design, develop, and maintain scalable data pipelines and systems using Databricks on Azure • implement and optimize ETL ...

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Ensure the best possible performance and quality of high scale data engineering project. * Participate in the architecture and system design discussions. * Independently perform hands-on development ...

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

Identifies opportunities to automate data engineering processes and executes with direction of ... Strong project management and organizational skills. * Experience or knowledge of Agile Software ...

Lead AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Participate in the architecture and system design discussions for high-scale data engineering projects. * Independently perform hands-on development, unit testing, and participate in code reviews to ...

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Collaborate with solution architects and senior data engineers to understand data solution designs supporting projects and continuous improvement initiatives. * Partner with business stakeholders and ...

New

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Collaborate with solution architects and senior data engineers to understand data solution designs supporting projects and continuous improvement initiatives. * Partner with business stakeholders and ...

New

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Data Engineer

Iselin, NJ · On-site

$95K - $110K/yr

Serve as a Data Engineer Level 1 for projects, enhancements, and production support. * Be responsible for all analysis and support of assigned projects to include hands-on development. * Assist in ...

Data Engineer

Piscataway, NJ · On-site

$76K - $121K/yr

You will support our software developers, data analysts, and data scientists on data initiatives, ensuring efficient data delivery architecture is consistent throughout ongoing projects. You must be ...

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

... a project more independently. • Hand off back and forth with offshore developers in a ... Data Profiling. • Experience implementing coding best practices via code reviews and code ...

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

You will support our software developers, data analysts, and data scientists on data initiatives, ensuring efficient data delivery architecture is consistent throughout ongoing projects. You must be ...

Lead Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

Lead Data Engineer Experience Required: 12 years+ Location: Jersey City, NJ | Onsite Employment ... Project Delivery & Execution * Oversee end-to-end project delivery, ensuring timely, high-quality ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

... project - MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it Should have Datalake Experience If it's on the resume, the team will ask about it.

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

You will bring engineering rigour to data - treating pipelines, models, and infrastructure as ... Demonstrated experience developing dbt projects - writing modular, tested, and well-documented ...

You will bring engineering rigour to data -- treating pipelines, models, and infrastructure as ... Demonstrated experience developing dbt projects -- writing modular, tested, and well-documented ...

Showing results 21-40

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

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

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.
What job categories do people searching Data Engineer Project jobs in New Jersey look for? The top searched job categories for Data Engineer Project jobs in New Jersey are:
Infographic showing various Data Engineer Project job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Periscope

McKinsey & Company

Newark, NJ • On-site

$110K - $150K/yr

Full-time

Re-posted 19 days 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

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