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Data Analytics Engineer Jobs in New Jersey (NOW HIRING)

Data integration from various data sources. Build web service API to support data analytics ... Master or PhD Degree in Electrical Engineering, Computer Science, Software Engineering, Computer ...

Lead, develop, and scale a team of data analysts and engineers -- including hiring, coaching, and building high-performance ways of working. * Serve as a strategic business partner to leaders across ...

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Bachelor's degree in Business, Information Technology, Data Analytics, Computer Science, Engineering, or a related field. * Proven experience managing complex, cross-functional digital, analytics, AI ...

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Data Analytics Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analytics engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in New Jersey?

The most popular types of Data Analytics Engineer jobs in New Jersey are:

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

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

Infographic showing various Data Analytics Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Data & Analytics Architect

Selective Insurance

Short Hills, NJ • On-site

$69.25 - $89.25/hr

Other

Medical, Retirement, PTO

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


Selective Insurance rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance


Job description

About Us

At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.


Overview

"Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time".

Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period.

The Data and Analytics Architect is responsible for the overall design of the data, platforms, and applications (batch/real time, cloud/hybrid) within our Information Management area (including Business Intelligence & Advanced Analytics). This will include the definition of standards, best practices, policies and procedures, integration patterns, data models, high level data flows and data services. This Architect will work in collaboration with IT Application Development teams, Enterprise Architecture, and business partners to establish data and analytics architecture patterns, evaluate new tools and technologies, provide recommendations, support POCs, and assist with implementation/adoption as appropriate. Through this activity, they will enable consistent business analysis, streamlined data acquisition and consumption, development of best-in-class analytical solutions, environment optimization, and compliance with applicable regulations and security standards. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements.


Responsibilities
  • Works with Delivery Managers to balance rapid delivery of business solutions with sound technical solutions and on development team member competencies, skills, and overall productivity.
  • Collaborate with Delivery teams to define, select, and implement data, analytics, and information solutions that consider business objectives and meet non-functional requirements.
  • Assist the Enterprise Architect in the planning process for new business initiatives through buy/build recommendations, vendor solutions evaluations, assessing designs against company standards, evaluating technical risk and define and align technology and roadmaps with business strategies.
  • Monitor trends and evaluates emerging technologies that are candidates for the future state data and analytics architecture or evolving business strategy and supports vendor analysis and proofs-of-concept to validate new technologies, solutions, and designs as needed.
  • Provide mentorship and guidance to Junior Architects and Developers in data and analytics technologies, best practices, innovation, designs, and processes.
  • Assists with tier 2 application production issues and challenging issues in any phase of the development lifecycle. Supports continuous improvement by identifying and proposing tuning opportunities.
  • Identifies opportunities to increase efficiency, quality, and speed to market. Proposes actions to realize opportunities and advocates for DevOps/DataOps opportunities.

Qualifications
  • Bachelor's Degree in Computer Science, or other related field, or equivalent work experience.
  • 7 to 10 years of experience in Data and Analytics Architecture
  • P&C Insurance industry experience preferred.
  • Understanding of Data Design methodologies and their application in complex multi-tier systems.
  • Knowledge of Real Time, Service Oriented Architecture (SOA) and Web Oriented Architecture (WOA)
  • Strong understanding of Data warehouses, Data Marts and Data Lake.
  • Ability to develop and architect solutions based on non-functional requirements.
  • Experience with Power BI, Azure ML, Azure Databricks, IICS and/or Informatica PowerCenter is preferred.
  • Experience architecting and data modeling in Azure ecosystem is preferred.
  • Superior technical knowledge in Data Quality, Standards, Governance, and Design
  • Ability to effectively work well with people in other departments and/or outside of the enterprise.
  • Strong verbal, written, and interpersonal communication and the ability to communicate with audiences at varying technical levels.

Total Rewards

Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.


Pay Range
USD $146,000.00 - USD $198,000.00 /Yr.
Additional Information

Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.


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