Information Technology Jobs in Java Village New York

Software Development Engineer

Responsible for the technical design and delivery of new Java/Golang projects using exciting, cutting-edge technology. Min Reqs: Bach in Comp Sci or closely related field plus 3 yrs of exp in a computing environment w/ multiple programming languages: Java, and Python. Salary: $184,000 per yr. Based in New York, NY. Telecommuting Permitted. To apply, email resume to w/ "Software Development Engineer (NY- 5055)" in the subject line. DriveWealth Technologies LLC.

JobiqoTJN. Keywords: Software Development Engineer, Location: New York, NY - 10060

IT: ADP Technology Services, Inc.

seeks Sr Platform Engineers at our New York, NY loc.

to dsgn & architct solns for s/w dvlpmnt probs.

Bach's deg in Comp Sci, Comp Engg, Info Sys, or a rel'd field + 2 yrs of rel'd exp req.

1 year of exp must include: Write Javascript code; Dvlp entrprse grade s/w; Dvlp s/w at scale; Cloud prvdrs incl AWS; Robust test strat emplyng test strat at multiple lyers (incl unit, integn, functn, manual, & auto end to end tests); Intrfcng w/ prod membrs to help dsgn featres; NodeJS; GO; Kubernetes; Front end dev w/ ReactJS; Work w/ Rltnl & NoSQL dbs; & Ablty to break down probs & come up w/ sys dsgn & archit for soln approach.

Annual base salary range for this position is $132,585 to $190,200 per year.

Benefits listed at: /en/life-adp.

To apply, pls respond to req.

274229 at Alt, applicants may mail resume to the following address rfrncng req.

274229, 1 ADP Blvd., MS 248, Roseland, NJ 07068.

JobiqoTJN.

, Location: New York, NY
- 10060

Python Developer in New York, NY Compensation: $150,000-250,000/year Within this role, the developer will be responsible for building, developing and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.

Qualifications Required A Bachelor's Degree; Graduate Degree preferred At least 3 years of experience with Python Linux / Unix environment experience Experience with PostgreSQL, or other relational databases Able to quickly understand and discuss requirements from Portfolio Managers Preferred Previous experience in low-latency trading environments Familiar with quantitative finance and electronic trading concepts and financial data Equities, futures, FX, or other financial instruments knowledge Experience with containerization and orchestration technologies Experience building and deploying systems that utilize services provided by AWS, GCP or Azure Experience with other programming languages, such as C/C++, Java, Scala, Go, or C# Apache, Confluent Kafka experience Experience automating SDLC pipelines

Job role: Marketplace Platform Lead

Location: Remote

Duration: 8+ months
Marketplace Platform Lead

Job Overview

The Marketplace Platform Lead is responsible for driving the end?to?end technical architecture and implementation of the enterprise Data Marketplace platform. This role spans stakeholder engagement, architectural definition, integration design, and hands-on leadership throughout implementation. The ideal candidate is a seasoned technical leader with deep experience designing integration patterns, building scalable platforms, and guiding engineering teams through complex cross-system solutions.

Key Responsibilities

Lead stakeholder meetings to gather business requirements, align on platform objectives, and clarify workflows and user journeys.

Conduct tool evaluations, build scoring frameworks, and make recommendations on platforms, vendors, and integration technologies.

Define end-to-end Marketplace architecture, including data flows, APIs, domain models, integration strategies, and platform components.

Design and lead the implementation of integration patterns, including API-based integrations, event-driven patterns, workflow orchestration, and cross-system interoperability.

Develop technical designs, architectural documents, and standards for Marketplace workflows, user flows, and extensibility patterns.

Provide hands-on architectural guidance to engineering teams throughout solution design, development, and delivery.

Oversee technical quality, scalability, performance, and security across Marketplace components and integrations.

Collaborate with product, engineering, data, and security teams to ensure compliance with enterprise data governance, privacy, and reliability standards.

Lead technical reviews, drive design decisions, and ensure alignment across cross-functional stakeholders.

Required Skills & Qualifications

8+ years of experience in software engineering, platform development, or technical architecture roles.

Strong expertise in designing and implementing integration architectures, including REST/GraphQL APIs, event-driven patterns, synchronous/asynchronous messaging, and workflow engines.

Deep understanding of distributed systems, microservices, and cloud-native solutions (Azure, AWS, or GCP).

Proficiency with API design, messaging systems, and enterprise integration frameworks.

Experience defining technical architecture, data flows, and workflow designs for complex platforms.

Ability to translate business requirements into technical designs, user flows, and actionable engineering plans.

Demonstrated leadership in guiding engineering teams through architectural decisions and implementation.

Strong communication skills with the ability to influence technical and non-technical partners.

Experience evaluating and scoring platforms, tools, or vendor solutions.

Solid knowledge of DevOps practices, CI/CD, infrastructure-as-code, observability, and security best practices.

Preferred Qualifications

Experience building or leading a Data Marketplace platform.

Familiarity with workflow orchestration platforms, rules engines, BPM tools, or catalog management systems.

Experience with enterprise identity systems (OAuth, SAML, SSO), access governance, and data privacy frameworks.

Background working with enterprise data platforms, data governance, or cross-domain integration patterns.

Prior experience leading architectural governance or serving as a platform architect in an enterprise environment.

Job Title: Data Scientist

Duration: 12 Months (Temp to Hire)

Location: Newark, NJ 07102

Job Description:

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions.

As a Data Scientist on/in the US Businesses PruAdvisors Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

Responsibilities:

• 
  
• 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.
  

The Skills and expertise you bring:

• 
  
• 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
  

Title: Business Systems Analyst III

Location: Newark, NJ (Hybrid)

Duration: 12 Months

Role Overview

Client is seeking a Senior Business Analyst to support the Product Enablement and Contract Automation initiative. This role is focused on enabling automated contract generation by establishing accurate, validated, and structured product data that serves as a single source of truth for Group Insurance product offerings.

The Senior Business Analyst works closely with business, product, and technology partners to translate contract and product intent into clear data, mapping, and process requirements that support integration between AWS Cloud, APIs, and SharePoint and OpenText Content Web Document Services (CWDS).

Key Responsibilities

• 
  
• 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
  

Required Qualifications

• 
  
• 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
  

Preferred Qualifications

• 
  
• 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
  

New York Institute of Technology has an opening for Assistant Professor in New York, NY, responsible for teaching courses in all aspects of Management Science, Management Information Systems, and Statistics, at both the undergraduate and graduate levels. Ph.D. (or foreign academic equivalent) in Management Science, Information Systems, Data Science, or a closely related field. Must have experience with statistical analysis software such as STATA, R, SAS, and SPSS. Experience with data analysis tools such as Power BI, Tableau, and Python. $74,500- $148,893.38 /yr. Any applicant who is interested in this position should apply to job reference number 2026-4168 at

JobiqoTJN. Keywords: Education - Assistant Professor, Location: New York, NY - 10060

Title-: Solution Architect - Microsoft Purview (Data Catalog & Governance)

Duration-: 10+ Months

Location: Remote

Overview

An experienced Solution Architect to lead the enterprise rollout of Microsoft Purview across a complex global, multi cloud environment. The consultant will define architecture, implement domain?based governance, and drive adoption of Purview capabilities including cataloging, lineage, classification, access governance, and compliance controls.

Key Responsibilities

• 
  
• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

Required Qualifications

• 
  
• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.
  

Title: Field Support Analyst

Location: New York 10166 (100% Onsite) - 8am -5pm (CST)

Duration: 4 months - possible extension & Potential to convert to FTE

Overview of Work Environment/Client Nuances:

Fast paced environment, communication is very important as there will be C-Suite execs on-site

Team Overview:

Will be working as part of team, some in-person, some virtually

Resource's typical working day:

General desk top support

Hardware/software support

Desktop support helping a wide range of end users

Responding to tickets

Maintaining office technology

Front facing customer service

Level 1 & Level 2 software support enterprise level

Backend office MS Office Support

MS Intune

Active Directory

Remote management

Incident Request Management

Licenses/Certifications:

Any applicable licenses or certifications are preferred

Must Have Skills:

o Good technical skills

o Excellent customer service

Nice to have skills:

* Banking or law firm support work,

* Experience with Apple iOS

* Adobe Acrobat

Years of Experience: 5+ years

Education

* Bachelor's degree preferred, if no degree, they will need 5 years extra experience

Software skills:

* MS Intune, Ticketing Systems, MS Office Suite

Interview Process:

* 1st round technical interview - phone

* 2nd round culture interview with HM - MS Teams

* 3rd round with office leadership - onsite

About the Role:

As a Field Support Analyst, you will provide research and analysis support to the Digital & Technology department.

This job is part of the D&T Support job function. They are responsible for providing technical support and solutions to internal users.

What You'll Do:

*Edit content for the documentation of software applications and hardware environments.

*Create photographs, drawings, sketches, diagrams, and charts to illustrate the material.

*Conduct research and interviews with technical and business personnel.

*Provide ad-hoc technical assistance to managers and other members of the application development team.

*Support changes or enhancements to templates and other documentation standards.

*Have some knowledge of standard principles with limited practical experience in applying them.

*Lead by example and model behaviors that are consistent with client's values.

*Impact the quality of own work.

*Work within standardized procedures and practices to achieve objectives and meet deadlines.

*Exchange straightforward information, asks questions, and check for understanding.

What You'll Need:

*Bachelor's Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered.

*Ability to use existing procedures to solve standard problems.

*Experience with analyzing information and standard practices to make judgments.

*In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.

*Organizational skills with a strong inquisitive mindset.

*Intermediate math skills. Ability to calculate difficult figures such as percentages, fractions, and other financial-related calculations.