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Data Engineering Jobs in Matawan, NJ (NOW HIRING)

Northern Base

Snowflake Lead Data Engineering

New York, NY · On-site

$110K - $130K/yr

Snowflake Lead Data Engineering Must Have Technical/Functional Skills Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL Roles & Responsibilities The Snowflake Lead will serve ...

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 ...

BDG

Data Engineering Director

New York, NY · On-site

$165K - $190K/yr

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:

Octaura

Intern, Data Engineering

New York, NY · On-site

As an intern on the data engineering team you will work directly with our senior data engineers, software engineers and data scientists to build and maintain the infrastructure and data pipelines ...

BDG

Data Engineering Director

New York, NY · On-site +1

$165K - $190K/yr

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:

Fubo

Software Engineer, Data Engineering

New York, NY · Hybrid

$190K/yr

As a member of the Data Engineering team, you'll collaborate across disciplines, partnering with engineering, product, business, and marketing teams to deliver reliable data infrastructure that ...

Fubo

Software Engineer, Data Engineering

New York, NY · On-site

$190K/yr

As a member of the Data Engineering team, you'll collaborate across disciplines, partnering with engineering, product, business, and marketing teams to deliver reliable data infrastructure that ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Matawan, NJ

Data Engineering information

See Matawan, NJ salary details

$47.5K

$170.5K

$251.6K

How much do data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineering in Matawan, NJ is $170,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,900.00 and $175,600.00 per year, depending on experience, location, and employer.

What is data engineering?

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.

What does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

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 are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What job categories do people searching Data Engineering jobs in Matawan, NJ look for?

The top searched job categories for Data Engineering jobs in Matawan, NJ are:

What cities near Matawan, NJ are hiring for Data Engineering jobs?

Cities near Matawan, NJ with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Matawan, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $170,499 per year, or $82 per hour.

Snowflake Lead Data Engineering

Northern Base

New York, NY • On-site

$110K - $130K/yr

Full-time

Posted 17 days ago

Job description

Snowflake Lead Data Engineering
Job Description
 
Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL
Roles & Responsibilities
The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK ’s enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams.
 
Snowflake Production Support
• Perform root cause analysis for job failures and data analysis & fixes 
• Perform Month End Closing Activities
Snowflake Development & Architecture
• Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
• Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
• Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
• Oversee promotion of code across environments using CI/CD practices 
Data Engineering & Integration
• Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe
• Ensure data quality checks, reconciliation, and schema drift handling
• Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
• Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
• Enable AI/ML use cases on Snowflake, including: 
o Feature engineering datasets for ML models
o Snowpark (Python)–based data processing
o Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable)
• Support AI driven insights such as: 
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
• Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads
 
Core Technical Skills
• Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
• Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
• Python: Data processing, automation, Snowpark (preferred)
• Strong understanding of cloud data platform architecture (AWS preferred)
 
AI / Analytics Skills
• Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
• Experience supporting ML models through data engineering and operationalization
• Familiarity with Python ML libraries (scikit learn, pandas, NumPy) – applied from a data engineering perspective
• Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
 
Domain & Soft Skills
• Insurance domain experience (P&C / Specialty Insurance strongly preferred)
• Strong communication skills for onsite customer interaction
• Ability to translate business requirements into scalable data & AI solutions