Information Technology For Development Jobs in None, NJ

Junior Data Engineer

Location: East Windsor, New Jersey

E-Verified | Visa Sponsorship Available

About Us:

BeaconFire, based in Central NJ, is a fast-growing company specializing in Software Development, Web Development, and Business Intelligence. We're looking for self-motivated and strong communicators to join our team as a Junior Data Engineer!

If you're passionate about data and eager to learn, this is your opportunity to grow in a collaborative and innovative environment.

Qualifications We’re Looking For:

• Passion for data and a strong desire to learn and grow.
• Master’s Degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related field.
• Intermediate Python skills (Experience with NumPy, Pandas, etc. is a plus!)
• Experience with relational databases like SQL Server, Oracle, or MySQL.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively within a team.

Your Responsibilities:

• Collaborate with analytics teams to deliver reliable, scalable data solutions.
• Design and implement ETL/ELT processes to meet business data demands.
• Perform data extraction, manipulation, and production from database tables.
• Build utilities, user-defined functions, and frameworks to optimize data flows.
• Create automated unit tests and participate in integration testing.
• Troubleshoot and resolve operational and performance-related issues.
• Work with architecture and engineering teams to implement high-quality solutions and follow best practices.

Why Join BeaconFire?

• E-Verified employer
• Work Visa Sponsorship Available
• Career growth in data engineering and BI
• Supportive and collaborative work culture
• Exposure to real-world, enterprise-level projects

Ready to launch your career in Data Engineering?

Apply now and let’s build something amazing together!

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Job Location: 160 Princeton Hightstown Road, East Windsor NJ 08520

Rate of Pay: Rate of pay: $84,469 - $103,320 per year

Job Overview

The Warehouse Management Systems (WMS) Analyst serves as the on-site liaison between the operations management team and the Information Technology team, and plays a role of a super user in the utilization of the system. They would be responsible for day-to-day system maintenance and troubleshooting. First point of contact for assistance, questions, issues, training others, etc. at the operations level. Work with Operations teams, IT, and Engineering groups to ensure optimal configurations for WMS conversions, enhancements, and new business requirements.

Job Responsibilities and Essential Duties

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• Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.
  
• Serves as the on-site liaison between the Operations Management and Information Technology teams, acting as a super user of the Warehouse Management System (WMS).
  
• Responsible for day-to-day system maintenance and troubleshooting, and functions as the first point of contact for operational-level assistance, including user questions, issues, and training. Collaborates with Operations, IT, and Engineering teams to ensure optimal system configurations for WMS conversions, enhancements, and new business requirements.
  
  

Minimum Requirements

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• Bachelor's degree in a STEM field plus 3 years of experience in warehouse management systems, or related.
  
• A minimum of 3 years of related systems experience.
  

Required Knowledge, Skills, and Abilities

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• Requires skills and experience to involve: Expert-level knowledge of Blue Yonder WMS from an operational perspective, including data mining, issue investigation, system adjustments, and development of best practices.
  
• Hands-on experience managing warehouse zones, including movement paths, storage zones, pick zones, and count zones, to ensure efficient workflow and inventory accuracy.
  
• Proven ability to troubleshoot RF (radio frequency) issues, ensuring minimal disruption to daily operations. Expertise in barcode configuration and management, supporting accurate and efficient inbound, picking, and pack-out processes across multiple product lines.
  
• Strong background in waving processes and shortage resolution, critical to ensuring on-time order fulfillment.
  
• Experience testing within Blue Yonder WMS environments, following documentation best practices to ensure system reliability and consistency.
  
• Skilled in troubleshooting support requests related to WMS and integrated systems or interfaces.
  
• Experience developing and maintaining SOPs and site-specific process documentation to ensure consistent and efficient operations.
  
• Familiarity with shipping quality guidelines, and extensive experience in inventory management and quality control to ensure operational excellence.
  

Supervision/Management of Others:

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• The position does not supervise other employees
  

Internal and External Contacts/Relationships

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• Internal: Warehouse and Logistics team, Getinge employees
  
• External: Working relationships with external vendors, operations, and IT team members
  

Environmental/Safety/Physical Work Conditions

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• Ensures environmental consciousness and safe practices are exhibited in decisions
  
• Use of computer and telephone equipment and other related office accessories/devices to complete assignments
  
• May work extended hours during peak business cycles
  

Permissions

Each organization shall establish the appropriate authority, and interrelation of all employees who manage, perform, and assess work affecting quality, and provide the independence and authority necessary to perform these tasks.

Disclaimer

The above information in this description is intended to describe the general nature and level of work performed. It does not contain nor is it intended to be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

About us

With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.

At Getinge, we offer a comprehensive benefits package, which includes:
* Health, Dental, and Vision insurance benefits
* 401k plan with company match
* Paid Time Off
* Wellness initiative & Health Assistance Resources
* Life Insurance
* Short and Long Term Disability Benefits
* Health and Dependent Care Flexible Spending Accounts
* Commuter Benefits
* Parental and Caregiver Leave
* Tuition Reimbursement

Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law. Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Job Title: Rancher & Kubernetes SME

Location: Princeton, NJ - 08540

Mode: Contract Role – Onsite

only W2

Minimum 15+ years of experience required.

Qualifications:

• Design and implement Rancher-managed Kubernetes clusters (RKE, RKE2, K3s, EKS, AKS, GKE).
• Architect high availability (HA) Rancher setups.
• Define multi-cluster and multi-tenant strategies using Rancher projects, namespaces, and RBAC.
• Integrate Kubernetes with VMware, Bare Metal, and Cloud platforms.
• Establish standardized cluster blueprints and reference architectures.
• Act as final escalation (L3) for Kubernetes and Rancher incidents.
• Diagnose and resolve Control plane failures
• etcd performance and corruption issues
• Pod scheduling and node pressure issues
• CNI (Calico / Cilium) networking problems
• CSI storage failures (Ceph, Longhorn, EBS, Azure Disk, NFS)
• Perform root cause analysis (RCA) and provide preventive recommendations.
• Install, upgrade, and maintain Rancher Server.
• Manage cluster lifecycles using Rancher UI & APIs.
• Implement and manage Rancher RBAC, Authentication (AD / LDAP / Azure AD / SSO)
• Global & cluster-level policies
• Maintain Rancher backups, DR, and recovery procedures
• Enforce Kubernetes security best practices like Pod Security Standards (PSS)
• Network policies and Secrets management
• integrate Kubernetes with CI/CD tools e.g., GitHub Actions, GitLab CI, Jenkins, Argo CD
• Enable GitOps workflows for application and cluster configuration.
• Support Helm chart development and lifecycle management.
• Assist development teams with Deployment strategies, Resource optimization
• Troubleshooting application issues on Kubernetes

Experience:

• 6–10+ years in Linux / Infrastructure / Cloud
• 3–5+ years hands-on Kubernetes production experience
• Strong expertise in Rancher (RKE / RKE2 / K3s)
• Deep understanding of:
• Kubernetes control plane
• etcd
• Networking (CNI)
• Storage (CSI)

Thanks,

Rahul Gupta

Direct: (732) 743-7543

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• Partner with Group Insurance business, product, and technology stakeholders to understand contract automation objectives
  
• Identify, document, and validate field-level data elements required for automated contract generation
  
• Create data mapping specifications including transformation rules, validation criteria, and business logic
  
• Leverage AI-assisted tooling to accelerate data discovery, mapping analysis, and documentation
  
• Facilitate working sessions with business partners to validate data definitions, mappings, and contract logic
  
• Document end-to-end document generation workflows, including system interactions and exception handling
  
• Translate validated requirements into consumable artifacts for engineering and quality teams
  
• Support User Acceptance Testing (UAT) and implementation readiness activities
  
• Communicate risks, dependencies, and decisions across cross-functional teams
  

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• 5+ years of experience as a Business Analyst or Business Systems Analyst
  
• Strong experience with data mapping, data validation, and integration-driven solutions
  
• Proven ability to validate requirements and outcomes with business partners
  
• Strong analytical, facilitation, and communication skills
  

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• Experience supporting contract automation or document generation initiatives
  
• Familiarity with AWS Cloud, APIs, and SharePoint, document management, or content services platforms
  
• Experience leveraging AI tools to support analysis and requirements documentation