Engineering Assistant jobs in United States, New York, New York

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Working across and influencing different stakeholders within the client organization, cultivating, and executing on business opportunities
• Building strong relationships with the clients including engaging with C-level executives and technical clients
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Propose and drive new technologies to enhance or replace existing business processes

To qualify for the role, you must have

• Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Minimum of 9 years’ experience in banking, capital markets, insurance, or asset management domain with at least 3 years of experience managing a team
• Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
• Demonstrate exploration of new techniques outside of day-to-day job duties
• Experience presenting technical conclusions to senior officials in a company and other stakeholders
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Project management and process development expertise in client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid passport

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.
• Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
• Experience architecting and designing large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
• Deep understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
• Practitioner experience in multiple data technologies such as:
• Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components)
• Data integration Tools (Informatica, Talend, etc.)
• Experience with scripting languages: Python, Java, C++, Scala, etc.
• Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (Snowflake, BigQuery, AWS Redshift etc.)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
• Experience with data pipeline and workflow management tools (Airflow, etc.)
• Dev Ops (GitHub, Kubernetes Jenkins, Terraform)
• Data Modeling (Data vault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in business administration (MBA) or Science (MS) preferred
• Prior consulting experience
• Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support.
• Oral presentation skills, with the ability to lead meetings & hold workshops with executives
• Experience quantifying results to the business, from the front line to senior executives

What we offer you

Consulting – Tech Consulting – FinTech – Blockchain and AI Engineering - Manager

Whole industries have been disrupted and transformed in recent years by digital technology. EY advises clients to understand, architect, select and implement bleeding edge solutions required to efficiently run their businesses, with a focus on Digital and Cloud. These service areas span E-commerce, Blockchain, Solution Architecture, Mobile Applications, Digital Platform Architecture, Digital Technology Strategy, and Digital IT Operations.

As a Manager in Application Systems Engineering, you will be at the forefront of defining user and customer requirements, focusing on development across diverse platforms. You'll play a pivotal role in engineering software components and services that ensure seamless communication within the system architecture.

Your key responsibilities

As a vital member of our team, you will manage and deliver high-quality processes, solutions, or projects, with a strong focus on quality, risk management, and continuous improvement. You'll be expected to innovate through research and benchmarking best practices, while managing professional employees and supervisory responsibilities to meet performance objectives. Your role will encompass:

• Leading agile teams of engineers and take responsibility for the overall planning, execution, and success of blockchain projects
• Growing our team, including coaching individuals, leading technical discussions and learning sessions, and developing more leaders within our team
• Establishing and driving software engineering best practices and set standards across our global blockchain team
• Collaborating on product direction as a technical lead to design and implement blockchain solutions that create meaningful value for our clients
• Educating our clients on blockchain technology and its capabilities and evaluating the viability of potential use cases and applications
• Supporting business development opportunities as a technical resource alongside subject matter experts from Advisory, Assurance, and Tax service lines
• Ensuring billability through chargeable work to external clients.
• Leading workstream delivery with strategic oversight.
• Managing project status and overseeing deliverable completion.
• Traveling as required by client engagements.
• Actively participating in client sessions and leading workstreams from planning to execution.
• Identifying additional service opportunities to drive sales.
• Leading specific RFP responses and managing engagement economics.
• Executing resource planning within budget constraints.

Skills and attributes for success

To thrive in this role, you'll need a blend of technical prowess and business acumen, coupled with the ability to manage complex problems and lead teams effectively. Your skills will include:

• You’re an innovator. You keep up to date on emerging technologies (especially blockchain) and are constantly thinking about potential applications.
• You’re a people developer. You find and cultivate talent to achieve outstanding results. You give your team creative freedom to innovate while holding them accountable for making good decisions and delivering results.
• You’re focused on customer value. You don’t blindly implement specs and actively talk to customers and stakeholders to design solutions to their problems.
• You’re comfortable with ambiguity. You thrive in the face of complex problems with no obvious solutions.
• You’re entrepreneurial at heart. You have a passion for making your ideas a reality, building prototypes and ultimately launching production-scale solutions in the market.
• Agile development methodologies.
• Application integration and quality assurance.
• Proficiency in software development and technology business requirements analysis.
• Strong relationship management and negotiation skills.

To qualify for the role, you must have

• A bachelor's degree is required, with at least 4-6 years of relevant experience.
• 5+ years of professional engineering experience with 3+ years of people management experience
• Hands-on experience with modern full-stack JavaScript development including Node.js and frameworks such as React and Express
• Experience designing and implementing RESTful and/or GraphQL APIs
• Experience building cloud native/microservices architecture applications and platforms
• Experience with Agile software development (like Scrum or Kanban)
• Knowledge of professional software engineering practices and the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Proven experience in project management of complex deliverables
• Excellent written and verbal communication skills
• Willingness and ability to travel to meet client needs

Ideally, you’ll also have

• Passion for blockchain technology and experience with Ethereum, Quorum, and/or Solidity
• Experience with containerization technologies such as Docker and Kubernetes
• Previous experience deploying and configuring environments using infrastructure-as-code provisioning tools like Terraform and Ansible
• Experience with traditional enterprise technologies including SaaS and ERP systems (like SAP)
• Experience managing customer-facing engineering teams
• Experience with another language in addition to JavaScript/Typescript for example Rust, Golang, Python, or Java.
• Interest in the emerging field of AI, including experience with:
  • Large Language Models and integration with those
  • Retrieval-Augmented Generation (RAG)
  • EmbeddingsStrong analytical and decision-making capabilities.

The Platform Engineering carries the responsibility of contributing to our technical innovation and efficiency. In this role, individuals will leverage their career by staying hands-on while contributing to a multifaceted team of engineers towards the goal of streamlining and automating our operations and processes. In this role, you will identify and define user/customer requirements, focusing on developing user interfaces (UI) across various platforms such as mobile, web, and tablets. You will be responsible for creating software components and services that interact seamlessly with upstream and downstream components, ensuring that business requirements are met through effective coding and programming.

Your key responsibilities

As a Platform Engineer, you will play a pivotal role in delivering innovative solutions. In the role, you will be at the forefront of contributing to the delivery of processes, solutions, and projects. You will apply your judgment and select appropriate methodologies to inform recommendations, navigate success criteria, barriers, risks, and issues. This role presents an opportunity to challenge yourself, grow your skills, and contribute to our team's success. Expect regular travel as needed by our external clients. Your time will be spent on various responsibilities, including:

• Collaborating with clients to gather and analyze requirements, ensuring that the final product meets their needs.
• Designing and developing user interfaces that are not only functional but also enhance user experience.
• Writing clean, maintainable code and creating specifications that support business objectives.
• Regular travel may be required to meet with clients, providing you with the opportunity to engage directly with stakeholders.

Key responsibilities include:

• Design and implement robust APIs and microservices using Python, FastAPI and OpenAPI.
• Architect and maintain containerized applications using Docker, Kubernetes, and Helm.
• Develop and optimize data models and queries using PostgreSQL and ORMs (e.g., SQLAlchemy).
• Champion test-driven development (TDD) practices, including unit and integration testing.
• Collaborate with cross-functional teams to build distributed systems leveraging message queues (RabbitMQ) and caching layers (Redis).
• Integrate authentication and authorization mechanisms using Keycloak, OAuth2, OIDC, and Azure Active Directory (AAD).
• Work with Azure cloud services, including API gateways (APIM, FrontDoor) and object storage (Azure Blob and File Storage).
• Creating and debugging kubernetes-hosted services.
• Explore and implement interactions with AI/LLM systems, including agentic workflows, vector stores and embedding-based search.
• Monitor, troubleshoot, and optimize platform performance and reliability.
• Occasional contributions to CI/CD pipelines and infrastructure-as-code.

Skills and attributes for success

To excel in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

• Strong understanding of agile delivery and development methodologies.
• Proficiency in application development tools and quality assurance practices.
• Ability to build and manage relationships with clients, fostering trust and value.
• Excellent communication skills, capable of conveying complex ideas with clarity.

To qualify for the role, you must have

• Bachelor’s degree in computer science, Software Engineering, or a related field
• Typically, no less than 4 - 6 years relevant experience in professional platform engineering experience or similar role in software development and system administration.
• Strong proficiency in Python and FastAPI for backend development.
• Solid experience with microservices architecture, API design, and implementation.
• Hands-on experience with containers, Kubernetes, and Helm.
• Deep understanding of relational databases, especially PostgreSQL, and ORM tools.
• Proven experience with unit testing, integration testing, and TDD methodologies.
• Experience with mTLS for secure service-to-service communication.

• Proficiency in Agile Delivery methodologies.
• Experience with Application Delivery Processes.
• Familiarity with Application Development Tools.
• Knowledge of Quality Assurance practices.
• Understanding of Testing practices.
• Familiarity with the System Development Lifecycle.
• Experience in System Integration.

Ideally, you’ll also have

• Experience with building and evolving distributed systems
• Experience with integration technologies : APIs, message queues, and caches
• Familiarity with identity and access management tools like Keycloak, OAuth2, OIDC, and AAD.
• Exposure to cloud services (Azure preferred), including API gateways and object storage.
• Experience with LLMs, vector databases, and semantic search.
• Knowledge of CI/CD tools and infrastructure automation (e.g., Terraform, GitHub Actions) are assets.

• Experience in complex problem-solving and critical thinking.
• Strong emotional agility and the ability to collaborate in hybrid environments.
• A proactive approach to learning and adapting to new technologies.

What we look for

We seek individuals who are not only technically proficient but also possess a strong sense of curiosity and a desire to learn. Top performers are those who can navigate complex challenges with ease, communicate effectively, and build meaningful relationships with clients and colleagues alike.

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path

To qualify for the role, you must have

• Undergraduate or master's degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Around 6 or more years of related work experience in banking, capital markets, insurance, or asset management space
• Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Prior experience in project management and client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid passport

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions
• Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Big Data initiatives and Event-driven architecture, preferably focused in financial services
• Experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion, integration, and distribution pipelines
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and manipulation
• Deep understanding of traditional data architecture practices (MDM, ODS, data warehousing, etc.) as well transition to Next-Gen platforms such as Hadoop, Cloud, distributed ledgers, etc.
• Practitioner experience in multiple data technologies such as:

• Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Big Data applications and Distributed Processing (Hadoop ecosystem components)
• Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (AWS Redshift, Teradata, Netezza)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
• Dev Ops (Github, Kubernetes Jenkins, Terraform)
• Data Modeling (Datavault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

What we offer you

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path

To qualify for the role, you must have

• Undergraduate or master's degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Around 6 or more years of related work experience in banking, capital markets, insurance, or asset management space
• Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Prior experience in project management and client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid passport

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions
• Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Big Data initiatives and Event-driven architecture, preferably focused in financial services
• Experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion, integration, and distribution pipelines
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and manipulation
• Deep understanding of traditional data architecture practices (MDM, ODS, data warehousing, etc.) as well transition to Next-Gen platforms such as Hadoop, Cloud, distributed ledgers, etc.
• Practitioner experience in multiple data technologies such as:

• Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Big Data applications and Distributed Processing (Hadoop ecosystem components)
• Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (AWS Redshift, Teradata, Netezza)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
• Dev Ops (Github, Kubernetes Jenkins, Terraform)
• Data Modeling (Datavault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

What we offer you

AI/Machine Learning Engineer, Senior Consultant

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning
• Strong skills in Python
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution monitoring and reporting
• Understanding of data structures, data modelling, and software engineering best practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
• Experience in hybrid collaboration and emotional agility
• A track record of working with diverse teams to drive outcomes through complex problem-solving
• Knowledge of sustainability practices in technology
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
• Experience fine-tuning Generative AI models
• Experience with image processing techniques and/or speech and audio processing and analysis