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Net Software Engineer

New York,NY

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655 Net Software Engineer jobs in New York,NY

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Software Engineer - Hybrid NYC

BrainTrust

New York, NY 10007

New, Posted 1 day ago
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Senior Software Engineer

Interstate Waste Services

Teaneck, NJ 07666

$125,000/yr
~ 20 min Onsite

  • This position has an On-Site Requirement in Teaneck NJ
  • Minimum (5) five years of experience in a developer role in full stack environment
  • Robust Experience with C# programming, and .Net 8+
  • Knowledge on SQL queries, SQL Server, and relational database technology.
  • Experience with Rest API development, integration knowledge and middleware integration expertise.
  • Experience developing critical applications with large concurrent user bases from a performance and scalability standpoint
  • Experience with Azure cloud services.
  • Must have experience in the analysis, design, development, testing and implementation of enterprise scale apps.
  • Should be able to work closely with the business stakeholders and work towards the solutioning of the requirements.
  • Should have requirement gathering and documentation experience.
  • Effective written and verbal communication.
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New, Posted 11 hours ago
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Digital Pathology Field Service Engineer

TD Synnex

New York, NY

Flexible Schedule
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Nuclear Engineer

U.S. Navy

East Rutherford, NJ 07073

New, Posted 7 hours ago
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Director, Fraud Hub Lead Engineer

BNY

New York, NY 10007

New, Posted 5 hours ago
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
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Technical Customer Support Engineer, Tier 2

UVEye

Teaneck, NJ 07666

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of experience in Tier II support, systems administration, or QA engineering
  • Bachelor's degree in Computer Science or a related field
  • Proficiency with Linux, Docker, and Kubernetes
  • Strong troubleshooting skills across hardware and software domains
  • Hands-on experience with hardware setup, installation, and calibration
  • Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with networking equipment (switches, routers, firewalls, load balancers)
  • Comfortable using tools like Zendesk, JIRA, and Confluence
  • Able to work independently and manage multiple priorities under pressure
  • This role may involve on-site or field-based activities
  • The salary range listed is $75,000 - $90,000
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IT Lead DataOps Data Engineer

Kenvue

Summit, NJ 07901

~ 39 min OnsitePaid Time Off

  • Bachelor's degree in Information Systems and Technology, Computer Engineering, or related field
  • 8 years of experience in job offered or in an IT Lead DataOps Data Engineer-related occupation
  • Microsoft Power BI
  • Microsoft Azure Data Fundamentals
  • Microsoft Azure Fundamentals
  • Snowflake SnowPro Core Certification
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New, Posted 6 hours ago
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Human Resources Technology Data Engineer

LHH US

Long Island City, NY 11101

$85-$100/hr
Hybrid~ 10 minHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5-8 years of professional software engineering experience.
  • Proven track record of hands on development in enterprise scale systems, preferably in HR.
  • Strong proficiency in at least one core programming language (Python or Java).
  • Deep experience with relational databases, NoSQL stores, and complex query design.
  • Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
  • Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.
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New, Posted 2 hours ago
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Tax Professional - TurboTax Store

Intuit

New York, NY 10012

Bilingual Preferred

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