1

Data Visualization Engineer Jobs in New Jersey (NOW HIRING)

Lead Data & AI Engineer

Sayreville, NJ · On-site

$119K - $142K/yr

Description The Data & AI Platform Engineer at Sabert Corporation plays a strategic and hands-on ... Strong experience with data visualization and business intelligence tools, including Power BI and ...

Lead Data & AI Engineer

Sayreville, NJ

$119K - $142K/yr

The Data & AI Platform Engineer at Sabert Corporation plays a strategic and hands-on role at the ... Strong experience with data visualization and business intelligence tools, including Power BI and ...

Data Engineer, Technology Services

Raritan, NJ · Hybrid

$117K - $140K/yr

Data Visualization (Power BI, Tableau) * Software Engineering Fundamentals (Git, testing, code reviews, reusable frameworks, DevOps/MLOps, CICD) * Agile Processes (Scrum, Kanban) #JNJTECH #LI-Hybrid ...

New

(USA) Staff, Data Scientist

Kearny, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Clifton, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Bayonne, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Elizabeth, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Hoboken, NJ · On-site

$143K - $286K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Paterson, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Linden, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

Practical skill sets in BI and Data visualization tools * Knowledge of other programming languages and ability to write code (i.e. VBA, python, XML) * Working knowledge of ETL * Experience in ...

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

(USA) Staff, Data Scientist

Passaic, NJ · On-site

$132K - $264K/yr

Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI. Strong understanding of data strategy, including data quality standards ...

Showing results 21-40

Data Visualization Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data visualization engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data visualization 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.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

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

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in New Jersey? The most popular types of Data Visualization Engineer jobs in New Jersey are:
What are popular job titles related to Data Visualization Engineer jobs in New Jersey? For Data Visualization Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in New Jersey look for? The top searched job categories for Data Visualization Engineer jobs in New Jersey are:
Infographic showing various Data Visualization Engineer job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 10% Part Time, and 10% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Lead Data & AI Engineer

Sabert Corporation

Sayreville, NJ • On-site

$119K - $142K/yr

Full-time

Re-posted 13 days ago


Sabert rating

7.0

Company rating: 7.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

67th of 119 rated packaging manufacturers


Job description

Description
The Data & AI Platform Engineer at Sabert Corporation plays a strategic and hands-on role at the intersection of data engineering, advanced analytics, and artificial intelligence. This position is responsible for designing, building, and optimizing scalable data platforms and AI-driven solutions that support enterprise-wide decision-making.
This role is instrumental in advancing Sabert's digital transformation by integrating data across manufacturing, supply chain, finance, sales, HR, and customer service functions. The engineer delivers actionable insights, predictive capabilities, and intelligent automation that enhance operational efficiency, improve forecasting accuracy, and drive business performance across a fast-paced, manufacturing-driven environment.
Essential Duties & Responsibilities
  • Design, develop, and maintain scalable, reliable data pipelines integrating structured and unstructured data from systems such as SAP S/4HANA, MES, SCADA, CRM, and other enterprise platforms.
  • Build and manage modern enterprise data environments, including Microsoft Fabric, Azure-based lakehouse architectures, and ETL/ELT pipelines.
  • Ensure high-quality, governed, and trusted data through implementation of data quality frameworks, validation processes, and consistency checks.
  • Establish and maintain master data management (MDM) practices and enforce enterprise data governance standards.
  • Enable real-time and near real-time data ingestion and processing from manufacturing systems, industrial IoT devices, and operational technology (OT) environments.
  • Develop, validate, and deploy advanced analytics and machine learning models, including demand forecasting, predictive maintenance, supply chain optimization, and financial planning models.
  • Build and operationalize end-to-end machine learning pipelines supporting anomaly detection, process optimization, and performance improvement.
  • Collaborate with cross-functional business partners to translate complex business challenges into scalable analytical solutions and production-ready AI models.
  • Perform exploratory data analysis to identify patterns, trends, and insights that drive continuous improvement across operations.
  • Design, develop, and deploy AI-powered solutions such as conversational agents, copilots, and workflow automation tools to enhance productivity.
  • Leverage modern AI frameworks, including large language models (LLMs) and agent-based architectures, to accelerate innovation across business functions.
  • Establish reusable AI solution patterns, documentation, best practices, and governance guardrails for responsible AI adoption.
  • Monitor, evaluate, and continuously improve deployed analytics and AI solutions based on performance metrics and stakeholder feedback.
  • Serve as a key liaison between IT and OT teams, ensuring alignment of data solutions with plant operations and enterprise priorities.
  • Define and enforce enterprise data security, governance, and compliance standards in alignment with regulatory and company requirements.
  • Document data architectures, pipelines, models, and solutions to support knowledge sharing, scalability, and maintainability.

Required Knowledge, Skills, and Abilities
  • Strong expertise in data engineering, data modeling, database design, and modern data architectures (lakehouse, data warehousing, ETL/ELT).
  • Proficiency in Python and SQL for data analysis, pipeline development, and machine learning model creation.
  • Experience with cloud platforms such as Microsoft Azure, Microsoft Fabric, Databricks, or Snowflake, and integration with SAP ecosystems.
  • Strong experience with data visualization and business intelligence tools, including Power BI and semantic data modeling.
  • Hands-on experience with machine learning techniques, including regression, classification, clustering, and time-series forecasting.
  • Proven ability to deploy predictive models and analytics solutions into production environments.
  • Familiarity with AI/ML frameworks, large language models (LLMs), and modern AI application development.
  • Understanding of MLOps practices, including model lifecycle management, deployment, monitoring, and version control.
  • Experience working with industrial IoT, SCADA, and MES systems, including real-time data processing.
  • Knowledge of manufacturing, supply chain, or CPG data environments, with an understanding of OT/IT integration challenges.
  • Strong analytical thinking, problem-solving skills, and focus on delivering measurable business impact.
  • Excellent communication and stakeholder engagement skills, with the ability to manage multiple priorities in a dynamic environment.

Other
Work in accordance with all Sabert Corporation policies and procedures, including those related to safety, quality, food/product safety, environmental responsibility, data security, and regulatory compliance.
Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Information Systems, or a related field.
  • Minimum of 5+ years of experience in data engineering, data science, advanced analytics, or related roles.
  • Proven experience building and managing cloud-based data platforms and analytics solutions within enterprise environments.
  • Experience working with ERP, MES, CRM, or similar enterprise systems, preferably within a manufacturing or CPG organization.

What Sabert employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Sabert logo

About Sabert

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Sayreville, NJ, US

Year founded

1983

Social media