1097 Data Engineer Information Technology jobs in Jersey City,NJ

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Solution Architect, Adobe Experience Manager

Subway Restaurants

Southport, CT 06890

~ 1 hr 18 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, or a related field (or equivalent practical experience)
5+ years of enterprise web technology experience with at least 3 years in a senior AEM architect or lead AEM engineer capacity
Deep, hands-on expertise with Adobe Experience Manager — specifically AEM Sites as a Cloud Service (SaaS), Content Fragments, Experience Fragments, and headless delivery patterns
Experience deploying and operating AEM in a high-volume ecommerce environment, including integrations with commerce platforms, cart and checkout flows, product content delivery, and enterprise performance and availability standards
Proven experience architecting and operating AEM Edge Delivery Services for high-traffic marketing or corporate web properties, including authoring workflows, content pipeline configuration, and edge publishing at scale
Demonstrated expertise with headless CMS architecture using AEM — Content Fragment models, GraphQL API design, and front-end integration with React-based SPA or native application consumers
Strong React proficiency sufficient to evaluate, guide, and collaborate on front-end implementations that consume AEM headless APIs and Edge Delivery content
Hands-on experience with Akamai for CDN and WAF in an AEM context — including Akamai Property Manager configuration, cache strategy and invalidation, bot mitigation rules, and origin protection
Practical experience integrating AEM with Adobe Target for content-level A/B testing and experience targeting, and with Adobe Experience Platform (AEP) for audience-driven personalized content delivery
Experience with AEM Assets and Dynamic Media — including DAM architecture, Dynamic Media configuration, rendition strategy, and integration with AEM Sites delivery
Solid understanding of AEM as a Cloud Service deployment model, Cloud Manager pipelines, Dispatcher configuration, and CDN-layer architecture
Solid Java, Sling, OSGi, and Apache Felix fundamentals for AEM platform-level development and configuration
Comfortable working within enterprise CI/CD pipelines and collaborative source control workflows (Azure DevOps, Git/GitHub)
Proficiency with AI-assisted development and architecture tooling (Claude, GitHub Copilot, or equivalent) as a daily practice
Ability to operate authoritatively as a technical decision-maker — capable of setting direction, defending architectural choices, and aligning cross-functional stakeholders
Strong systems thinking across the full CMS delivery stack — from content modeling through to CDN edge delivery and security
Clear, structured written and verbal communication — capable of authoring ADRs, architectural diagrams, engineering runbooks, and presenting technical strategy to senior leadership
Experience leading architectural reviews, RFP processes, and vendor evaluations for CMS and delivery infrastructure platforms
Collaborative approach — effective at working across product, engineering, security, and operations teams without direct authority
Adobe Certified Master — AEM Architect or Adobe Certified Expert — AEM Sites Developer preferred
Prior experience leading or contributing to a CMS re-platforming or platform modernization program at enterprise scale preferred
Experience with AEM multi-site management (MSM), multi-language rollout, and global content localization architectures preferred

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New, Posted 8 hours ago

Applied Researcher II

Capital One

New York, NY 10012

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Information Technology Professional (IT Support)

U.S. Navy

Jersey City, NJ 07305

Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

~ 11 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes
Progress towards CFA (or equivalent) a plus

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New, Posted 1 day ago

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Sr Business Analytics Advisor (US Remote)

FedEx Logistics

Jamaica, NY 11434

RemoteEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree/equivalent in engineering, data analytics, computer software or related technical or quantitative discipline.
Five (5) years experience in data analytics, data management and/or engineering
Excellent analytical, problem solving, presentation, project management, SQL, data analytics tools (e.g. SAS), data visualization tools (e.g., Tableau, SAS VA, Spotfire)
Excellent human relations, organizational/time management and communication skills.

SmartExplore AI is experimental.

New, Posted 1 day ago