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Live In Data Platform Engineer Jobs in New Jersey

Sabert Corporation

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 ... This role is instrumental in advancing Sabert's digital transformation by integrating data across ...

SCALIS

AI Platform Engineer

Newark, NJ · On-site

... in cybersecurity, Big Data/databases, software development, systems testing, STIG Compliance ... The AI Platform Engineer builds, hardens, and helps operate the enterprise GenAI/agentic platform ...

New

USCS

AI Platform Engineer

Camden, NJ · On-site

$140K - $150K/yr

This is a large investment in innovation to continue to drive operational excellence at our ... Data and integration skills. Ability to work with REST APIs, JSON, SQL, relational databases ...

Aita Consulting Services, Inc

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

Ensures data management best practices are followed in all work efforts. * Documents all activities ... Define best practices for data platform implementations. * Create implementation, monitoring, and ...

Exiger

Platform Engineer

Jersey City, NJ · On-site

... leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock ... S. government agencies, Exiger is a recognized, award-winning leader in supply chain AI and a ...

Phyton Talent Advisors

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

Bachelor''s degree in Computer Science, Engineering, Information Systems, or a related field. * 5+ years of experience in Data Engineering or Data Platform development. * Strong hands-on expertise in:

FanDuel

Staff Data Engineer

Jersey City, NJ · On-site

You will work closely with engineers, product managers, and business stakeholders to architect data ... Identify and resolve architectural bottlenecks in the current data platform and propose ...

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Live In Data Platform Engineer information

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

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

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Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead Data & AI Engineer

Sabert Corporation

Sayreville, NJ • On-site

$119K - $142K/yr

Full-time

Re-posted 25 days ago

Sabert rating

7.0

Company rating: 7.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

69th of 120 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

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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

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