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Data Engineer Data Analyst Jobs in New Jersey (NOW HIRING)

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

This position will be responsible for the analysis, development, implementation, testing, and ... The Data Engineer will interface regularly with business partners across Underwriting, Operations ...

Astrana Health, Inc.

$105K - $200K/yr

Data Engineer (Multiple Levels) Department ... Data - Analytics Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA ...

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Jersey City, NJ Must Have Qualifications: * 5-6 years of experience in Data Analysis, Data Engineering, or a related technical role. * Strong experience with Master Data Management (MDM) and ...

PamTen Inc

Lead - Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 12+ years of experience in data engineering, data analytics, or related fields. • ... Strong knowledge of P&C Insurance processes (Claims, Policy Administration, Billing, Underwriting ...

Curemed Health

Data Analyst

Jersey City, NJ

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

Qusscorp

Data Analyst

Morris Plains, NJ · On-site

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

Judge Group, Inc.

Data Analyst II

Bridgewater, NJ · On-site

$40 - $42/hr

Six or more years of relevant experience in data engineering, system integration, and VOC program implementation. Proficiency in SQL to extract, manipulate, and analyze large datasets. Hands-on ...

USCS

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ

$115K - $138K/yr

You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the ...

PUIG

Data Engineer

North Brunswick, NJ · On-site

$120K - $145K/yr

Support the modernization of analytics and AI data foundations on Google Cloud Platform. * Promote cloud-first, governed and AI-ready approaches to enterprise data engineering. * Identify ...

Zortech Solutions

Data Analyst

Clark, NJ · On-site

Job Title - Data Analyst End Client - L Oreal Location - Clark, NJ, Remote. Primary Skills Required ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

Capgemini

Data Analyst

Hopewell, NJ · On-site

$60 - $80/hr

... Data Management python programming The Data Analyst is responsible for interpreting data ... developing analytical processes, maintaining data systems, and enabling data-driven decision-making ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in New Jersey

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in New Jersey?

For Data Engineer Data Analyst jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in New Jersey look for?

The top searched job categories for Data Engineer Data Analyst jobs in New Jersey are:

What cities in New Jersey are hiring for Data Engineer Data Analyst jobs?

Cities in New Jersey with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in New Jersey as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer

Ascot Group

Iselin, NJ • On-site

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description


This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.
Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we're bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service - both pre- and post-claims. Ascot exists to solve our clients' brightest tomorrow, through agility, collaboration, resilience, and discipline.
Ascot is embedding artificial intelligence (AI) and automation across the organization to enhance decision making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work.
Position Overview:
The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation, testing, and ongoing support of Ascot's data and analytics assets. The ideal candidate has a foundational understanding of data warehouse design including strong SQL/ETL skills, strong attention to detail, and a desire to continue developing technical and analytical skills in an enterprise data environment. The Data Engineer will interface regularly with business partners across Underwriting, Operations, Finance, Actuarial, and Finance. This role will be in the office with a hybrid work schedule.
Responsibilities:
  • Partner with business stakeholders to understand data, reporting, and analytics requirements and translate them into actionable solutions.
  • Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations supporting enterprise reporting and analytics.
  • Develop and optimize SQL queries, datasets, and data models to support reporting, analysis, and operational decision-making.
  • Some may build and maintain Power BI reports, dashboards, and semantic models that provide timely and meaningful business insights.
  • Validate, reconcile, and monitor data to ensure accuracy, completeness, and consistency across source systems and reporting outputs.
  • Collaborate with data engineers, business analysts, and subject matter experts to understand business processes, data structures, and reporting needs.
  • Support the testing, deployment, and ongoing maintenance of data and reporting solutions, including issue resolution and enhancements.
  • Participate in project planning, requirements gathering, estimation, and solution design activities for data-centric initiatives.
  • Document business requirements, data transformations, reporting logic, and technical processes in accordance with established standards.
  • Identify opportunities to improve data quality, automate manual processes, and enhance reporting capabilities across the organization.
  • Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

Requirements:
  • A minimum of 3 years of experience in data analytics, business intelligence, reporting, or data engineering-related roles.
  • Strong SQL development and data analysis skills.
  • Experience with Power BI or similar business intelligence tools preferred.
  • Familiarity with data warehouse concepts, ETL/ELT processes, and dimensional modeling.
  • Experience working with enterprise data platforms, cloud data services, or modern analytics environments.
  • Strong analytical, problem-solving, and stakeholder communication skills.
  • Bachelor's degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience).
  • Experience working within the insurance industry is highly preferred, including familiarity with insurance operations, policy, claims, underwriting, finance, or regulatory reporting data domains.

***This position may be filled at a different level, depending on experience***
Compensation:
Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot's total compensation package for employees. Other rewards may include annual cash bonus and other forms of discretionary compensation awarded by the Company.
The annualized base pay range for this role is: $110,000 - $125,000
Company Benefits:
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more.
  • Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
  • Retirement Benefits: Contributory Savings Plan (401k)

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