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Data Engineer Jobs in Red Bank, NJ (NOW HIRING)

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

Lightning AI

Data Engineer

New York, NY

$125K - $150K/yr

As our first Data Engineer , 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, documented ...

Cognition

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

Thesis

Data Engineer

New York, NY · On-site

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Thesis

Data Engineer

New York, NY

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

Summitpointaiglobal

DataBricks Data Engineer

New York, NY

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing, and ...

Upcoresolutions

DataBricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Data Engineer Our client is seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing ...

Baseten

Data Engineer

New York, NY · On-site

$180K - $250K/yr

THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw ...

Forhyre

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Cape

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer at Cape, your mission is to build the analytics and reporting infrastructure that lets us understand our product and business without compromising the privacy guarantees we make to ...

Bedrock Robotics

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We need a Senior Data Engineer who can work across the stack: tighten up our ingestion pipelines, write new ETL pipelines wherever needed, build out monitoring and alerting where we have blind spots ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and ...

Ceritypartners

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and architecting the future--state of our data pipelines, analytics, and reporting. Data is what empowers ...

Kanak Elite Services Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby location) Mid-Level (5-12 years) Mandatory Skills: * - Data pipeline development * - SQL * - Python ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and ...

Reality Defender

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Red Bank, NJ

Data Engineer information

See Red Bank, NJ salary details

$45.7K

$133.1K

$182.2K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Red Bank, NJ is $133,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $141,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Red Bank, NJ? The most popular types of Data Engineer jobs in Red Bank, NJ are:
What are popular job titles related to Data Engineer jobs in Red Bank, NJ? For Data Engineer jobs in Red Bank, NJ, the most frequently searched job titles are:
What cities near Red Bank, NJ are hiring for Data Engineer jobs? Cities near Red Bank, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Red Bank, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,119 per year, or $64 per hour.

Data Engineer

Argyllinfotech

New York, NY • On-site

$125K - $150K/yr

Full-time

Posted 4 days ago

Job description

Job Title: Data Engineer
Work location: New York City, NY (Hybrid, 3 days in a week)
In-person Interview is required
 
Client: Mizuho bank
 
Visa: ANY
 
Job Description:
Looking for skilled Data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in leading end-to-end data architectures, integrating diverse data sources, and ensuring data quality and accuracy.
Core Competencies:
  • Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
  • Strong understanding of relational databases, ETL processes, and data modeling.
  • Expertise in system design, architecture, and implementing robust data pipelines.
  • Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
  • Effective communicator with the ability to collaborate with business analysts, users, and global teams.
Key Responsibilities:
  • Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
  • Develop and optimize data models and schemas for efficient data integration and analysis.
  • Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
  • Implement data validation procedures to maintain high data quality standards.
  • Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
  • Provide ongoing support, troubleshooting, and maintenance in production environments.
  • Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).