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Data Engineering Jobs in Edison, NJ (NOW HIRING)

ECS Resource Group

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and ...

QXO

Data Engineering Lead

East Rutherford, NJ · On-site

$168K - $210K/yr

We are looking for a Data Engineering Lead to design, build, and operate scalable, cloud-native data platforms and data products on Google Cloud. This role combines hands-on engineering with ...

Justworks

Manager, Data Engineering

New York, NY · On-site

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You are an ...

Justworks

Manager, Data Engineering

Manhattan, NY · On-site

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You are an ...

Justworks

Manager, Data Engineering

New York, NY · On-site

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You are an ...

Octaura

Intern, Data Engineering

New York, NY

We are seeking motivated and enthusiastic summer interns to join our data engineering team. An internship at Octaura provides an opportunity to acquire hands-on experience while contributing to ...

QXO

Data Engineering Lead

East Rutherford, NJ

$168K - $210K/yr

We are looking for a Data Engineering Lead to design, build, and operate scalable, cloudnative data platforms and data products on Google Cloud. This role combines handson engineering with technical ...

BBR Partners

Director, Data Engineering

New York, NY · On-site

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

Lightning AI

Manager, Data Engineering

Manhattan, NY · On-site

$188K - $275K/yr

As our first Data Engineering Manager , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables ...

Moda Operandi

Manager of Data Engineering

New York, NY

$200K - $220K/yr

Manager of Data Engineering ID: 1038 Location: Brooklyn, NY More about this job > Description Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function ...

BBR Partners

Director, Data Engineering

New York, NY

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

BDG

Data Engineering Director

New York, NY · On-site +1

As the head of our data engineering team, you will play a pivotal role in shaping BDG's data strategy and fostering a culture of innovation and excellence. What You'll Do * Lead & Grow the Team:

BBR Partners

Director, Data Engineering

New York, NY · On-site

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

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Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Edison, NJ

Data Engineering information

See Edison, NJ salary details

$47.6K

$170.8K

$252.1K

How much do data engineering jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data engineering in Edison, NJ is $170,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Edison, NJ? The most popular types of Data Engineering jobs in Edison, NJ are:
What are popular job titles related to Data Engineering jobs in Edison, NJ? For Data Engineering jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Edison, NJ look for? The top searched job categories for Data Engineering jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Engineering jobs? Cities near Edison, NJ with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Edison, NJ as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $170,835 per year, or $82.1 per hour.

Data Engineering Lead

ECS Resource Group

Newark, NJ • Hybrid

£60K - £90K/yr

Other

Posted 9 days ago

Job description

Job Description Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data platform. This role owns the endtoend data engineering architecture - from ingestion and lakehouse design to enabling trusted, selfservice analytics across the organisation. You will lead a small engineering team, define technical standards, and work closely with senior stakeholders to ensure data underpins strategic and operational decisionmaking.

Role Purpose To take ownership of the organisation's data platform architecture and delivery, ensuring reliable, scalable ingestion pipelines, a welldesigned data warehouse, and highquality analytics products. The role combines handson technical leadership with people management and crossbusiness collaboration. Key Responsibilities Data Platform & Architecture Own the data warehouse schema, lakehouse design, and core data models Translate business requirements into pragmatic, scalable data architecture decisions Define, implement, and maintain data contracts aligned to business domains Establish data quality, observability, and SLA frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermarkbased ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark / Python Fabric Notebooks Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses Ensure Direct Lake-ready semantic models for analytics Lead incident management, root cause analysis, and data issue postmortems Analytics Enablement Enable selfservice analytics through governed Power BI datasets Support and guide the production of trusted Power BI reporting using data contracts Leadership & Ways of Working Define engineering standards and review pull requests Mentor and develop 2-4 data and cloud engineers Drive the data and warehouse roadmap alongside the Digital Transformation Director Champion CI/CD, secure secret management, and software engineering best practices Role Objective Deliver and continuously refine a Microsoft Fabric data warehouse supporting businessled decision making Integrate data from diverse sources including APIs, files, databases, and cloud platforms Establish data contracts as a core mechanism for trusted analytics Scale Power BI reporting using standardised, highquality data products Provide clear, motivating leadership to direct reports Conduct regular 1:1s, performance reviews, and development planning Recruit, onboard, and develop a highperforming data engineering team Ensure compliance with company policies, legal obligations, and operating procedures Experience & Technical Skills Seniorlevel experience in data engineering roles Experience leading or mentoring data engineers Handson experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems endtoend Wider Azure data platform experience (e.g

Synapse, Databricks) CI/CD pipelines within Azure and Fabric Azure Key Vault or similar secret management Experience in telecoms or cloudfocused environments Strong understanding of dimensional modelling and medallion architecture Experience integrating REST APIs, SFTP, and cloudbased data sources Ability to communicate technical tradeoffs to nontechnical stakeholders Excellent troubleshooting, prioritisation, and delivery focus

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