New York

Engineer Jobs in New York

145 jobs found

Include remote jobs

23d ago

Vice President, Software Engineer

Morgan Stanley New York, NY

New York, NY

23d ago

$190k - $210k/yr Full time Backend Developer Manager Senior

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Job Description

At Morgan Stanley, this Vice President Software Engineer role offers an opportunity to lead the design, architecture, and delivery of a risk management platform used by large hedge funds and institutional clients. The position emphasizes scalable risk calculation, regulatory compliance, and automated reporting, with mentorship and cross-team collaboration across the firm. It is a hybrid role in New York, with a salary range of USD 190,000 to 210,000 per year, and telecommuting up to one day per week.

Responsibilities

Drive the ongoing evolution of the risk management system to address regulatory updates, new business initiatives, and efficiency gains.
Design and architect modules of the Risk Calculator platform to meet complex requirements for major hedge funds and institutional clients.
Develop solutions that process and compute risk across a broad spectrum of asset classes.
Incorporate advanced simulation engines to forecast portfolio risk under hypothetical market scenarios, enabling stress tests and what-if analyses.
Build systems capable of handling millions of risk metrics daily, utilizing distributed computing and scalable architectures to ensure performance and reliability.
Translate intricate business processes and financial product knowledge into actionable technical solutions through collaboration with stakeholders to align with business objectives.
Design and implement interfaces for automated risk reporting, margin calculation, and integration with upstream and downstream systems, supporting real-time and batch processing.
Ensure the risk management platform complies with industry regulations.
Provide hands-on guidance, code reviews, and mentorship to development teams, promoting best practices in software engineering, design patterns, and system scalability.
Telecommuting permitted up to one day per week.

Requirements

Bachelor’s degree in Data Science, Computer Science, Engineering (any) or related field
Five years of experience in the offered role or five years as a Java/Scala Developer, Senior Manager, Associate, or related technology role
Experience with high-performance, low-latency distributed systems
Proficiency in Java
Proficiency in Python
Proficiency in Spring Boot
Experience with SQL, NSQL, and hybrid databases
Experience with microservices architecture
Experience with Docker
Experience with Kubernetes
Experience with Kafka
Real-time streaming data processing and performance tuning for sub-millisecond execution
Cloud-native deployments on AWS or Azure
Experience with stress testing
Knowledge of PV01 (Price Value of 01)
Knowledge of trade lifecycle workflows in equities, fixed income, and derivatives
Knowledge of VaR

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24d ago

Data Engineer

DCI Solutions New York, NY

New York, NY

24d ago

$175k - $260k/yr Full time Big Data Bigdata Data

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Job Description

DCI Solutions is seeking a Data Engineer to join a cross-functional team in New York, onsite. The role centers on integrating data, transforming insights, and building applications to support operational decisions, with an active DoD Secret Clearance required.

Responsibilities

Operate as a Data Engineer on a cross-functional team to help address critical problems
Integrate data from multiple sources
Transform insights into actionable information for decision making
develop first-class applications that support operational decisions
Set up data feed transfers from source systems to the designated location
Write data transformations
Derive new datasets using Spark for distributed computation
Monitor build progress and troubleshoot issues
Design applications that answer operational questions
Respond to information requests (RFIs) related to the platform's data footprint
Collaborate with product teams while debugging and understanding the code behind the core platform

Requirements

BS in Computer Science or Engineering (or related field) preferred
3+ years of experience in data transformation, data engineering, and software engineering
Proficiency with Python and Java
Proficiency with TypeScript/JavaScript
Experience with Spark, PySpark, and/or Pandas
Strong understanding of algorithms and data structures as they pertain to development and problem solving
Foundry experience preferred
Active DoD Secret Clearance is required
Security clearance: Secret (Required)

Experience

Data engineering: 5 years (Preferred)
Python coding/programming: 5 years (Preferred)
Building and managing data pipelines: 5 years (Preferred)
Data transformation: 5 years (Preferred)
Foundry: 1 year (Preferred)
Spark and/or PySpark: 3 years (Preferred)

Technologies

Spark
PySpark
Pandas
Python
Java
TypeScript
JavaScript
Foundry

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Relocation assistance
Retirement plan
Tuition reimbursement
Vision insurance

Location

New York, NY

Job Type

Full-time

Salary

$175,000 - $260,000 per year

Security Clearance

Secret (Required)

Work Location

In person

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25d ago

Lead Generative AI Data Engineer III

Deloitte New York, NY

New York, NY

25d ago

$159k - $265k/yr Full time Manager Ai Ml Artificial Intelligence

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Job Description

The Lead Generative AI Data Engineer III applies advanced AI engineering practices to design, build, test, and deploy ML and AI solutions for both business and client initiatives. The role oversees AI engineering workstreams, develops robust data pipelines and production-grade components, collaborates with stakeholders across teams, and mentors junior practitioners to elevate delivery quality.

Location

New York, NY (onsite)

Salary

USD 159,100 - 265,100 per year

Responsibilities

Lead the end to end design, development, testing, and deployment of machine learning and AI solutions for business and client use cases.
Manage AI engineering workstreams by assigning tasks, reviewing deliverables, ensuring quality, meeting timelines, and resolving issues across the team.
Develop and supervise data pipelines, model training workflows, and production grade application components that support AI enabled products.
Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
Coach and mentor junior practitioners, provide day to day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
7+ years of professional experience.
5+ years of designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
3+ years of programming experience in Python, PySpark, PyTorch, and TensorFlow.
2+ years of technology consulting experience in the State Government or Local Government sector.
2+ years of experience leading technical teams, projects, or workstreams supporting AI or ML solution delivery.
1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
Active or advanced certification in Python, PySpark, PyTorch, and TensorFlow.
Ability to travel approximately 20 percent based on client needs and assignments.
Legal authorization to work in the United States without employer sponsorship now or in the future.

Technologies

Python
PySpark
PyTorch
TensorFlow
Docker
Kubernetes
Gemini
Anthropic
OpenAI

The Team

Deloitte's Government & Public Services GPS practice focuses on impact through people, ideas, technology, and outcomes. The team serves federal, state, and local government clients as well as public higher education institutions. Professionals bring fresh perspectives to help clients anticipate disruption and fulfill their mission promises. The AI and Data offering provides a full spectrum of solutions for designing, developing, and operating cutting edge data and AI initiatives.

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26d ago

Software Engineer, AI Security

Amazon.com Services LLC New York, NY

New York, NY

26d ago

$144k - $214k/yr Full time Backend Developer API APIs

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Job Description

The Software Engineer, AI Security is a hands-on engineering role within Amazon Security focused on building and maintaining a vulnerability auditing and review platform for AI-enabled software. The position emphasizes end-to-end development, operation, and security of software that identifies and mitigates risks in AI-integrated applications.

Location

New York, NY onsite

Compensation

USD 143,700 - 213,800 per year

Responsibilities

Conceptualize and deliver security oriented features for the vulnerability auditing and review platform; design, implement, test, deploy, and maintain them.
Enhance vulnerability detection capabilities for LLM integrated services and tools, including foundational models, MCP servers, agents, and agent skills and capabilities.
Provide end-to-end feature delivery, translating customer requirements into production-ready software and ongoing operations.
Refactor or deprecate legacy components to ensure long term maintainability and extensibility of the platform.
Develop automated scanning and analysis tooling to identify security vulnerabilities in AI integrated software components.
Implement detectors for adversarial attacks, prompt injection, capability boundary violations, and other LLM specific threat vectors.
Collaborate with applied scientists to translate AI safety research into production grade platform features.
Apply secure coding practices and threat modeling across all platform components.
Own the operational health of your features — monitor, alert, triage, and resolve production issues.
Identify root causes of operational failures and implement lasting fixes; pursue continuous improvements.
Proactively identify opportunities to enhance the team’s operational posture through automation, runbooks, telemetry, and dashboards.
Balance priorities between new feature development and operational enhancements.
Design software solutions that bring clarity to complex problems with visible risks or roadblocks.
Actively participate in code reviews and provide constructive feedback to engineers at all levels.
Document platform architecture, testing, operation, and security practices and its role within the AI safety ecosystem.
Keep skills current by evaluating and applying relevant innovations in security, AI safety, and software engineering.
Mentor SDE I and new team members to accelerate productivity and growth.
Train new teammates on platform architecture, operational practices, and team norms.
Contribute to hiring through interviews, candidate assessments, and raising the bar.
Collaborate with customers, stakeholders, and peers—including applied scientists—to ensure the platform delivers meaningful value and addresses the right problems.
Resolve disagreements with peers through constructive and inclusive dialogue.
Communicate effectively about status, risks, tradeoffs, and outcomes of your work.

Requirements

At least 3 years of non-internship professional software development experience.
At least 2 years of design or architecture experience for new and existing systems, focusing on design patterns, reliability, and scaling.
At least 1 year of designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications and services using one or more of C#, C++, Java, or Perl.
At least 1 year of Object Oriented Design experience.
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
Three or more years of experience in the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations.

Technologies

C
C++
Java
Perl
MCP servers

Benefits

Health insurance covering medical, dental, vision, prescription drugs, Basic Life and AD&D, with options for supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy Reimbursement coverage.
401(k) with company matching.
Paid time off.
Parental leave.

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26d ago

Data Engineer, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC New York, NY

New York, NY

26d ago

$111k - $185k/yr Full time Ad Tech Analytics Big Data

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Job Description

An entry-level data engineer role within ASAT at Amazon Ads based in New York, NY on site offers a path for recent graduates to build analytics capabilities and transform complex data flows into actionable guidance for bidding, targeting, relevance, and feature releases. The position centers on developing methods to analyze data and translate insights into concrete recommendations that support advertiser outcomes.

Responsibilities

Analyze data trends related to supply, optimization, ad load, and ad mix effects that influence advertiser performance and help meet advertiser goals.
Prepare analyses for senior leaders on topics such as how feature development affects identity recognition rates and how changes to ad selection systems impact fill rate, highlighting findings that inform roadmaps.
Formalize the analytics approach to Ads auctions by examining bid spreads, auction depth, and simulating potential changes to auction structure.
Identify, standardize, and operationalize KPIs to measure the performance of all ad-serving systems, using trend insights to steer business priorities.
Collaborate with engineering teams to define data logging requirements and secure prioritization on engineering roadmaps.
Validate financial models through rigorous analysis.
Develop and own ad revenue and supply intelligence analytics decks that support ongoing deep-dives.

Requirements

1+ years of data engineering experience
Experience with SQL
Experience with data modeling, warehousing, and building ETL pipelines
Bachelor's degree
Experience using AI to automate and build with GitHub (or other sources) to showcase projects

Technologies

SQL
GitHub

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance
Optional Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

A Day in the Life

The Data Engineer will work closely with business leaders and engineers to develop a cohesive data architecture that enables logging at multiple granularities and ensures data interoperability from bid flow to optimization to campaign delivery. The role involves analyzing the data and presenting analyses and ongoing reports with actionable insights.

About the Team

The Ads Science Product Team partners with teams that rely on product data to apply objective analysis and business logic, uncovering insights, guiding strategic decisions, and adapting to shifts in the industry.

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27d ago

Data Engineer

Amazon.com Services LLC New York, NY

New York, NY

27d ago

$101k - $160k/yr Full time Analytics Big Data Business Intelligence

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Job Description

Amazon.com Services LLC invites you to join as a Data Engineer in New York, NY (onsite). The role offers a salary range of USD 101,300 to 160,000 per year and places you on the PV Global Brand Insights team, where you’ll build data pipelines and generate insights to help Prime Video understand and deliver value to customers. This position emphasizes collaboration across research, data science, business intelligence, and data engineering to enable self-service analytics and AI-driven workflows.

Benefits

Health insurance
Sign-on payments
Restricted stock units (RSUs)
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP)

Responsibilities

Build and optimize data models and pipelines for complex global datasets
Own ongoing data quality and self-service access to datasets for business intelligence, AI-based tools, and Model Context Protocols (MCP)
Improve metadata to enhance AI results
Collaborate with research program leads, data scientists, BI engineers, and other data engineers to maintain stable, performant data solutions
Write secure, stable, testable, and maintainable code with minimal defects
Apply appropriate data design approaches and make judicious trade-offs without over-engineering
Optimize resource usage, including system hardware, data storage, query optimization, and AWS infrastructure
Participate actively in code reviews, design discussions, and roadmap planning
Resolve root causes of complex problems while balancing stakeholder requirements with team needs
Stay current on the latest innovations in the field, including ways that AI can be better used by stakeholders to analyze and visualize data
Develop and maintain automated reporting and dashboards to provide visibility into brand, marketing, and social performance and allow stakeholders to self-serve insights

Requirements

2+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
Experience with one or more scripting languages such as Python or KornShell
Foundational knowledge of designing and implementing data schemas, including normalization and relational vs dimensional modeling
Familiarity with professional software engineering practices across the full software development life cycle, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence
Experience using BI tools such as Tableau or Adobe to visualize data

Technologies

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala
Python, KornShell
Tableau, Adobe
Hadoop, Hive, Spark, EMR, Pig, Informatica, ODI, SSIS, BODI, Datastage
S3, Redshift, Sagemaker, Kinesis, Lambda, EC2

About the team

The PV Global Brand & Marketing Insights team informs global marketing decisions by representing the customer voice for the Global Marketing organization. Our work spans multiple countries to uncover universal customer truths while respecting local nuance, partnering with in-country insights leads. We collaborate with teams responsible for planning and executing strategies to shape the future of the Prime Video brand.

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28d ago

Electrical Engineer - Hybrid

RG Vanderweil.com New York, NY

New York, NY

28d ago

$100k - $140k/yr Full time Electrical Engineering BIM Design

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Job Description

RG Vanderweil Engineers offers a hybrid work model in New York City, NY, with the option to work onsite and remotely for up to two days per week. This Electrical Engineer role supports the design of building electrical infrastructure across a diverse portfolio that includes EV and PV distribution, life sciences facilities, academic environments, commercial spaces, casinos, airports, clean rooms and labs. The position provides mentorship and opportunities for growth, a competitive salary with bonus potential, wellness programs, and a commitment to equity and inclusion. Projects may span Newark, NJ, Philadelphia, PA and NYC.

Benefits

Hybrid work schedule (up to 2 days remote per week)
Mentorship and opportunities for growth
Competitive compensation with bonus potential
Wellness programs supporting physical and behavioral health
Equitable and inclusive workplace

Responsibilities

Collaborate with Sr. Engineers and Project Managers to understand project goals and requirements
Participate in meetings with team members, clients, project architects, and other internal and external disciplines
Contribute to designing the building electrical infrastructure, including medium voltage and low voltage service, main distribution equipment, and building distribution equipment
Document design calculations and design path decisions
Model electrical distribution systems with our analysis software
Conduct local site surveys and CA field visits