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EY Databricks Data Engineer - Manager Consulting Location Open United States, New York, New York
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Technology – Data and Decision Science – Data Engineering – Manager
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:
- Understanding and analyzing business requirements to translate them into technical requirements.
- Designing, building, and operating scalable data architecture and modeling solutions.
- Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
Key Responsibilities:
As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:
- Leading workstream delivery and ensuring quality in all processes.
- Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
- Implementing resource plans and budgets while managing engagement economics.
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.
Skills and attributes for success:
To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:
- Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
- Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
- Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
- Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, with the ability to convey complex information clearly.
- Proven experience in managing and delivering projects effectively.
- Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have:
- Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
- Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
- Proven expertise in Databricks and experience with Spark for big data processing.
- Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
- Experience in leading and managing teams, with a focus on mentoring and developing talent.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Managerial Role:
- Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
- Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs:
- Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
- Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
- Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
Ideally, you’ll also have:
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning concepts and applications.
- Knowledge of industry trends and best practices in data engineering.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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EY Palantir Engineer - Senior Consulting Location Open United States, New York, New York
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As an Assurance Associate / Senior Associate in Capital Market team, you will provide audit and non-audit services to clients who are developing and executing transformational strategies, such as launching an initial public offering (IPO) in the U.S., implementing improvements to internal controls and transitioning to either IFRS or US GAAP accounting standards. The Capital Markets team also is responsible for supporting our audit teams in applying audit standards appropriately and maintaining the firm’s central priority of audit quality.
Your key responsibilities
- Deliver technical accounting and US financial reporting advice across a range of clients and capital markets transactions
- Supporting our audit teams to deliver audits under PCAOB and local audit standards
- Deliver training and coaching to our internal audit practice on developments in audit standards and methodologies, including digital audit transformation and regulatory inspection support
- Expanding your network as you build relationships with senior stakeholders at your clients, their securities legal counsel, and within EY
To qualify for the role, you must have
- A bachelor’s degree in accounting, Finance or professional accounting qualification/ ACCA affiliate
- Experience auditing U.S. publicly traded companies with extensive knowledge of U.S. GAAP or IFRS and managing audit engagements
- In-depth technical knowledge of PCAOB audits and SEC reporting
- Strong communication and project management skills and willingness to travel
- Hands-on experience in a globally recognized audit firm and providing audit services to clients pursuing capital raising strategies is a plus
What we offer
EY offers a competitive remuneration package commensurate with your work experience, where you will be rewarded for your individual and team performance. We are committed to being an inclusive employer and we offer:
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
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Ebay Senior AI Engineer – Core AI United States, New York, New York
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About the Role
You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Multimodal Generative AI system , working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities.
Responsibilities
Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways.
Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data.
Help advance eBay’s internal platform for GenAI applications, contributing reusable components, and APIs.
Monitor and optimize AI systems in production for performance, quality, and responsible AI use.
Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack.
Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback.
8+ years in software or machine learning engineering roles.
4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data.
2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models.
Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact.
Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT).
Hands-on experience with:
Docker & Kubernetes
Big Data technologies (e.g., Hadoop, Spark)
UI/UX considerations in application development
Bonus qualifications:
Working knowledge of Spring Framework
Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm)
Familiarity with vector stores (PgVector, FAISS, Pinecone)
Experience with C++ and CUDA for performance-critical components
Strategic thinker with a strong technical foundation and a bias for action.
Excellent communicator who can bridge the gap between research, engineering, and product.
Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem.
Strong commitment to building responsible, ethical, and impactful AI systems.
A collaborative, self-driven mindset and genuine excitement to push the boundaries of what’s possible with AI at eBay.
The base pay range for this position is expected in the range below:
$210,400 - $280,900These jobs might be a good fit
EY Databricks Data Engineer - Senior Consulting Location Open United States, New York, New York
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Technology – Data and Decision Science – Data Engineering – Senior
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.
Your key responsibilities
As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:
- Designing, building, and operating scalable on-premises or cloud data architecture.
- Analyzing business requirements and translating them into technical specifications.
- Optimizing data flows for target data platform designs.
- Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
- Lead end-to-end data pipeline development, including data ingestion, transformation, and storage.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Provide technical guidance and mentorship to junior data engineers and team members.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay updated with the latest trends and technologies in data engineering and cloud computing.
This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.
Skills and attributes for success
To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:
- Strong analytical and decision-making skills.
- Proficiency in cloud computing and data architecture design.
- Experience in data integration and security.
- Ability to manage complex problem-solving scenarios.
To qualify for the role, you must have
- A Bachelor’s degree in Computer Science, Engineering, or a related field required (4-year degree). Master’s degree preferred
- Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions.
- 5+ years of experience in data engineering, with a focus on cloud data solutions.
- Expertise in Databricks and experience with Spark for big data processing.
- Proven experience in at least two end-to-end data engineering implementations, including:
- Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.
- Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Senior Consulting Projects:
- Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives.
- Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Ideally, you’ll also have
- Experience with data quality management.
- Familiarity with semantic layers in data architecture.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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MongoDB Senior Software Engineer Atlas Clusters Security United States, New York, New York
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- Build and design new features for MongoDB Atlas
- Contribute to and lead complex technical projects
- Work closely with product and design teams, considering the user’s perspective while building technical solutions
- Work with customers and support engineers to fix issues
- Collaborate with team members to develop our codebase, best practices, and design principles
- Learn from and mentor other team members
- Has at least 5 years of professional software development experience
- Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
- Is comfortable working across the stack of a modern web application (e.g. React, TypeScript)
- Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
- Has led the launch of a new module and maintained it in production
- Is eager to solve tough problems
- Has excellent communication skills
- Is curious, collaborative, and motivated
- In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
- In 6 months, you'll have contributed to a large project
- In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
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MongoDB Senior Software Engineer Frontend AI United States, New York, New York
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We’re also investing in , a specialized backend service for building AI agents to help engineers debug tasks. Written in TypeScript, Sage is part of our push to bring AI-powered tooling to the heart of our developer productivity ecosystem.
What You’ll Do- Design, build, and optimize web applications in React, GraphQL, and TypeScript, focusing on performance and user experience
- Lead development on Spruce and Parsley, delivering data-rich, highly interactive experiences that scale to massive CI workloads
- Collaborate with backend engineers working in Go and TypeScript to build seamless integrations between frontend and backend services
- Contribute to Sage, developing AI-powered agentic flows that help engineers debug tasks more effectively
- Ensure best practices in testing (Cypress), monitoring, and reliability
- Mentor team members and help shape the technical and cultural direction of our team
- 5+ years of strong experience in React and TypeScript
- Experience working with backend systems (experience in a statically typed compiled language like Go is a plus)
- Interest in developing agentic services and working with AI-powered developer tooling
- Track record of designing and implementing performant, large-scale web apps
- Familiarity with end-to-end testing frameworks such as Cypress or playwright
- Strong fundamentals in software engineering, including algorithms, data structures, and systems design
- Ability to thrive in environments with high impact and uncertainty, driving projects from 0→1 and beyond
- In three months, you’ll have contributed to Spruce or Parsley, shipping improvements in performance or user experience. You’ll understand the architecture and be in discussions about Sage’s AI-driven services
- In six months, you’ll have led development on a substantial feature in Spruce or Parsley, and contributed to Sage’s AI agentic workflows. You’ll be recognized as a go-to person for frontend performance and developer experience
- In twelve months, you’ll be initiating and leading projects that shape the future of developer productivity at MongoDB, across frontend, log analysis, and AI agentic services. You’ll mentor teammates and influence architectural direction on new greenfield projects.
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MongoDB Software Engineer Identity Access Management United States, New York, New York
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This role can be based out of our New York City office or remotely in the region.
Role Responsibilities- Lead medium sized, full-stack projects from technical design to delivery
- Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)
- Own our , and exemplify them in your work
- Continue to learn and be curious in growing your career!
- 2+ years of professional experience building full-stack web applications
- Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.)
- Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus
- Excellent communication skills, both written and verbal
- Is collaborative, empathetic, and intellectually honest
- In 1 month you’ll have shipped code into production
- In 3 months, you’ll have collaborated and delivered on a project with other engineers on the team
- In 6 months, you’ll have led the technical design, execution, and delivery of a project
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Technology – Data and Decision Science – Data Engineering – Manager
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:
- Understanding and analyzing business requirements to translate them into technical requirements.
- Designing, building, and operating scalable data architecture and modeling solutions.
- Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
Key Responsibilities:
As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:
- Leading workstream delivery and ensuring quality in all processes.
- Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
- Implementing resource plans and budgets while managing engagement economics.
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.
Skills and attributes for success:
To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:
- Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
- Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
- Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
- Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
- Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, with the ability to convey complex information clearly.
- Proven experience in managing and delivering projects effectively.
- Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have:
- Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
- Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
- Proven expertise in Databricks and experience with Spark for big data processing.
- Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
- Experience in leading and managing teams, with a focus on mentoring and developing talent.
- Strong programming skills in languages such as Python, Scala, or SQL.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Managerial Role:
- Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
- Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs:
- Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
- Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
- Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
Ideally, you’ll also have:
- Experience with advanced data analytics tools and techniques.
- Familiarity with machine learning concepts and applications.
- Knowledge of industry trends and best practices in data engineering.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
These jobs might be a good fit
