Job Description
At EY, we're committed to shaping your future with confidence. Join us to succeed in a globally connected powerhouse of diverse teams and take your career in any direction you choose. Be a part of EY as we build a better working world.
Our firm offers unparalleled tech consulting services in data strategy, business intelligence, digital transformation, machine learning, and Artificial Intelligence. We encourage and support bold ideas, continually striving for innovation.
The Opportunity
We are looking for a skilled Data Engineer with expertise in semantic data engineering. In this role, you will be responsible for designing and building modern data pipelines and implementing semantic frameworks such as ontologies, taxonomies, and knowledge graphs. Your work will enable intelligent AI applications and advanced data products.
You will collaborate with data architects, AI engineers, and business stakeholders to transform complex business concepts into scalable data and semantic models, facilitating advanced analytics and operational needs.
Your Key Responsibilities
• Data Engineering & Platform Delivery
• Design, build, and operate scalable data pipelines and integrations to support large-scale data architectures in cloud and hybrid environments.
• Utilize cloud-native technologies to create new integrations that manage growing data sources, volume, and complexity.
• Extract, transform, and load data from various sources into a unified format for data users and visualization efforts.
• Establish processes for data reconciliation and ensure data quality monitoring.
• Create unit/integration/performance tests for troubleshooting data-related issues effectively.
• Semantic Data Engineering / Context Engineering
• Develop and advance ontologies and semantic models that represent business concepts and workflows for AI systems and enterprise analytics.
• Build and manage knowledge graphs to support contextual reasoning and entity resolution across domains.
• Define metadata schemas, taxonomies, and contextual rules to enhance data discoverability and reuse.
• Implement and enforce semantic standards in alignment with W3C semantic web standards.
• Continuous Improvement
• Apply CI/CD principles to automate deployment, enhancing code quality, testing, and resilience.
• Evaluate and integrate emerging tools and processes in data engineering and knowledge graph platforms for improved outcomes.
Skills and Attributes for Success
To excel in this position, you should have strong change management skills, effective team leadership abilities, and outstanding relationship management skills. You're expected to be proficient in problem solving and critical thinking while possessing in-depth knowledge of data architecture and software engineering.
• Collaborate with Business Analysts and Solution Architects to convert business requirements into technical specifications.
• Work alongside AI/ML engineers to integrate a semantic context layer into workflows and data products.
• Enhance data readiness and interpretability for advanced analytics and AI use cases.
• Support analytics and data scientist team productivity by providing valuable data products.
• Mentor and guide other data professionals in standards and practices fostering a culture of learning and growth.
• Encourage sharing, reusability, and scalability in data solutions.
• Innovate solutions for complex challenges and suggest policy changes.
• Provide leadership and feedback to team members.
To Qualify for the Role, You Must Have:
• A Bachelor's degree in a STEM field.
• Over 6 years of relevant experience in software development, data science, ETL, and analytics.
• Experience of 3+ years with native cloud services like AWS, Azure, or GCP.
• 3+ years of experience in the Life Sciences industry.
• At least 2 years of experience in mentoring and leading data engineering teams.
• Expertise in designing, implementing, and maintaining data integrations and developing ETL pipelines.
• A proven track record in delivering complex data solutions.
• Experience in programming languages for data engineering (e.g., Python).
• Proficiency in OWL, RDF, SPARQL.
• Familiarity with distributed data technologies (e.g., Pyspark).
• Experience deploying solutions on cloud platforms (e.g., Kubernetes).
• Knowledge of relational SQL databases.
• Experience with DevOps and continuous integration.
• Proficient in GitHub.
• Exceptional organizational skills, capable of managing multiple projects simultaneously.
• Understanding of database architecture and administration.
• Excellent communication skills, with the ability to interact effectively with diverse teams.
• Strong problem-solving and troubleshooting capabilities.
• Ability to thrive in a fast-paced environment with shifting business priorities.
Ideally, You'll Also Have:
• Strong business acumen and relationship management skills.
• Experience leading teams in dynamic environments.
• Excellent interpersonal and communication skills.
• Familiarity with agentic AI systems or AI orchestration frameworks.
• A background in data fabric, data mesh, or AI4Data architectures.
• Experience in enterprise data management (MDM, metadata, governance).
• Familiarity with cloud data platforms such as Snowflake and Databricks.
• A focus on mentorship and professional development as a team leader.
• A passion for innovation and applying emerging technologies to real-world problems.
• The ability to cultivate an inclusive work environment valuing diverse perspectives.
What We Look For
We seek high performers with a blend of technical expertise and leadership skills. Ideal candidates are those who navigate complex challenges with innovative solutions, have a history of successful project delivery, and can establish strong client relationships.
What We Offer You
At EY, we will cultivate your skills for the future and provide world-class experiences. You'll work in a flexible environment that nourishes your extraordinary talents within a diverse and inclusive culture. We offer a comprehensive compensation and benefits package based on performance and the value you bring, with a salary range of $125,500 to $230,200. In high-cost areas, like New York, salaries range from $150,700 to $261,600, determined by factors such as education, experience, and skill sets. Our Total Rewards also include medical coverage, pension and 401(k) plans, and various paid time off options.
Join us in our hybrid work model, with an expectation of working in person 40-60% of the time for engagements. Our flexible vacation policy allows you to take the time you need for your circumstances, with designated paid holidays and other leave options to support your well-being.
Ready to shape your future with confidence? Apply today.
We are accepting applications on an ongoing basis. EY promotes high ethical standards and integrity among its team.
EY | Building a Better Working World
We are committed to creating new value for clients and society while building trust in capital markets. Our multi-disciplinary teams work across various services in assurance, consulting, tax, strategy, and transactions in over 150 countries.
EY provides equal employment opportunities without regard to race, color, religion, age, sex, ****** orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or other legally protected bases, in accordance with applicable law.
We are dedicated to providing reasonable accommodations to qualified individuals with disabilities. If you require assistance with your application or need accommodation during the process, please email us directly.
Our firm offers unparalleled tech consulting services in data strategy, business intelligence, digital transformation, machine learning, and Artificial Intelligence. We encourage and support bold ideas, continually striving for innovation.
The Opportunity
We are looking for a skilled Data Engineer with expertise in semantic data engineering. In this role, you will be responsible for designing and building modern data pipelines and implementing semantic frameworks such as ontologies, taxonomies, and knowledge graphs. Your work will enable intelligent AI applications and advanced data products.
You will collaborate with data architects, AI engineers, and business stakeholders to transform complex business concepts into scalable data and semantic models, facilitating advanced analytics and operational needs.
Your Key Responsibilities
• Data Engineering & Platform Delivery
• Design, build, and operate scalable data pipelines and integrations to support large-scale data architectures in cloud and hybrid environments.
• Utilize cloud-native technologies to create new integrations that manage growing data sources, volume, and complexity.
• Extract, transform, and load data from various sources into a unified format for data users and visualization efforts.
• Establish processes for data reconciliation and ensure data quality monitoring.
• Create unit/integration/performance tests for troubleshooting data-related issues effectively.
• Semantic Data Engineering / Context Engineering
• Develop and advance ontologies and semantic models that represent business concepts and workflows for AI systems and enterprise analytics.
• Build and manage knowledge graphs to support contextual reasoning and entity resolution across domains.
• Define metadata schemas, taxonomies, and contextual rules to enhance data discoverability and reuse.
• Implement and enforce semantic standards in alignment with W3C semantic web standards.
• Continuous Improvement
• Apply CI/CD principles to automate deployment, enhancing code quality, testing, and resilience.
• Evaluate and integrate emerging tools and processes in data engineering and knowledge graph platforms for improved outcomes.
Skills and Attributes for Success
To excel in this position, you should have strong change management skills, effective team leadership abilities, and outstanding relationship management skills. You're expected to be proficient in problem solving and critical thinking while possessing in-depth knowledge of data architecture and software engineering.
• Collaborate with Business Analysts and Solution Architects to convert business requirements into technical specifications.
• Work alongside AI/ML engineers to integrate a semantic context layer into workflows and data products.
• Enhance data readiness and interpretability for advanced analytics and AI use cases.
• Support analytics and data scientist team productivity by providing valuable data products.
• Mentor and guide other data professionals in standards and practices fostering a culture of learning and growth.
• Encourage sharing, reusability, and scalability in data solutions.
• Innovate solutions for complex challenges and suggest policy changes.
• Provide leadership and feedback to team members.
To Qualify for the Role, You Must Have:
• A Bachelor's degree in a STEM field.
• Over 6 years of relevant experience in software development, data science, ETL, and analytics.
• Experience of 3+ years with native cloud services like AWS, Azure, or GCP.
• 3+ years of experience in the Life Sciences industry.
• At least 2 years of experience in mentoring and leading data engineering teams.
• Expertise in designing, implementing, and maintaining data integrations and developing ETL pipelines.
• A proven track record in delivering complex data solutions.
• Experience in programming languages for data engineering (e.g., Python).
• Proficiency in OWL, RDF, SPARQL.
• Familiarity with distributed data technologies (e.g., Pyspark).
• Experience deploying solutions on cloud platforms (e.g., Kubernetes).
• Knowledge of relational SQL databases.
• Experience with DevOps and continuous integration.
• Proficient in GitHub.
• Exceptional organizational skills, capable of managing multiple projects simultaneously.
• Understanding of database architecture and administration.
• Excellent communication skills, with the ability to interact effectively with diverse teams.
• Strong problem-solving and troubleshooting capabilities.
• Ability to thrive in a fast-paced environment with shifting business priorities.
Ideally, You'll Also Have:
• Strong business acumen and relationship management skills.
• Experience leading teams in dynamic environments.
• Excellent interpersonal and communication skills.
• Familiarity with agentic AI systems or AI orchestration frameworks.
• A background in data fabric, data mesh, or AI4Data architectures.
• Experience in enterprise data management (MDM, metadata, governance).
• Familiarity with cloud data platforms such as Snowflake and Databricks.
• A focus on mentorship and professional development as a team leader.
• A passion for innovation and applying emerging technologies to real-world problems.
• The ability to cultivate an inclusive work environment valuing diverse perspectives.
What We Look For
We seek high performers with a blend of technical expertise and leadership skills. Ideal candidates are those who navigate complex challenges with innovative solutions, have a history of successful project delivery, and can establish strong client relationships.
What We Offer You
At EY, we will cultivate your skills for the future and provide world-class experiences. You'll work in a flexible environment that nourishes your extraordinary talents within a diverse and inclusive culture. We offer a comprehensive compensation and benefits package based on performance and the value you bring, with a salary range of $125,500 to $230,200. In high-cost areas, like New York, salaries range from $150,700 to $261,600, determined by factors such as education, experience, and skill sets. Our Total Rewards also include medical coverage, pension and 401(k) plans, and various paid time off options.
Join us in our hybrid work model, with an expectation of working in person 40-60% of the time for engagements. Our flexible vacation policy allows you to take the time you need for your circumstances, with designated paid holidays and other leave options to support your well-being.
Ready to shape your future with confidence? Apply today.
We are accepting applications on an ongoing basis. EY promotes high ethical standards and integrity among its team.
EY | Building a Better Working World
We are committed to creating new value for clients and society while building trust in capital markets. Our multi-disciplinary teams work across various services in assurance, consulting, tax, strategy, and transactions in over 150 countries.
EY provides equal employment opportunities without regard to race, color, religion, age, sex, ****** orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or other legally protected bases, in accordance with applicable law.
We are dedicated to providing reasonable accommodations to qualified individuals with disabilities. If you require assistance with your application or need accommodation during the process, please email us directly.
💡 Quick Summary
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