Context Engineer - Senior - Consulting - Location OPEN

EY · Hartford, CT · 1 wk ago

On-siteEngineering$107k–$177k/yrFull-time

About the role

We are seeking a Data Engineer with strong semantic data engineering capabilities to join our team. This role involves designing and building modern data pipelines while also implementing semantic frameworks that enable agentic AI and intelligent data products.

Responsibilities

Data engineering & platform delivery
Design, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environments.
Extract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needs.
Implement processes and systems to drive data reconciliation and monitor data quality.
Write unit/integration/performance tests and perform analysis required to troubleshoot data-related issues and support resolution.
Semantic data engineering / context engineering
Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics.
Build and maintain knowledge graphs that enable contextual reasoning, entity resolution, and semantic integration across domains.
Define metadata schemas, taxonomies, and contextual rules to support dynamic orchestration, discoverability, and reuse.
Implement and govern semantic standards and best practices aligned to W3C semantic web standards.
Continuous improvement
Utilize CI/CD principles to automate deployment of code changes, improving code quality, test coverage, and resilience.
Evaluate and adopt emerging tools and processes in data engineering and knowledge graph platforms to improve productivity and outcomes.

Skills and attributes for success

A Bachelor's degree in STEM
3+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development.
3+ years’ experience with native cloud products and services such as AWS, Azure or GCP.
2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development.
Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines.
Proven track record of designing and implementing complex data solutions.
Demonstrated understanding and experience using: Data engineering programming languages (e.g., Python), OWL, RDF, SPARQL, Distributed data technologies (e.g., Pyspark), Cloud platform deployment and tools (e.g., Kubernetes), Relational SQL databases, DevOps and continuous integration, GitHub, Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions.
Understanding of database architecture and administration.
Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners.
Strong problem solving and troubleshooting skills.
Ability to work in a fast-paced environment and adapt to changing business priorities.

Qualifications

A Bachelor's degree in STEM
3+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development.
3+ years’ experience with native cloud products and services such as AWS, Azure or GCP.
2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development.
Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines.
Proven track record of designing and implementing complex data solutions.
Demonstrated understanding and experience using: Data engineering programming languages (e.g., Python), OWL, RDF, SPARQL, Distributed data technologies (e.g., Pyspark), Cloud platform deployment and tools (e.g., Kubernetes), Relational SQL databases, DevOps and continuous integration, GitHub, Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions.
Understanding of database architecture and administration.
Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners.
Strong problem solving and troubleshooting skills.
Ability to work in a fast-paced environment and adapt to changing business priorities.

Benefits

Comprehensive compensation and benefits package including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Pay

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.

Schedule

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.

Application Instructions

For those living in California, please click here for additional information.

Equal Opportunity Employer

EY is committed to providing reasonable accommodation to qualified individuals with disabilities and encourages applicants with disabilities to apply.