Service Delivery Center, Senior Data Engineer

Location: Dallas, San Antonio, Raleigh

About the role

As a Technology Service Delivery Senior, you’ll be based in our Service Delivery Center, which is made up of high‑performing US‑based colleagues who work closely with our experienced advisory professionals. We deliver Technology project‑based work and managed services to our clients. Here, you’ll work as part of a project team and will be responsible for the design, build/configuration, testing, analysis, delivery and support of Technology solutions. This position is fast‑paced and ever‑changing, which means you’ll need to be a flexible self‑starter and be able to manage changing priorities and learning new and rapidly changing technology solutions. We are looking for Data Engineers who will build scalable data platforms, pipelines, databases, and cloud data applications for our financial services clients. The team leverages Snowflake, ETL and streaming technologies, cloud platforms, and modern engineering practices to modernize enterprise data ecosystems. This is a hands‑on, delivery‑focused role that spans the full data lifecycle.

Responsibilities

• Help clients solve complex business problems by delivering scalable, reliable, and well‑governed data solutions.
• Build resilient batch and streaming pipelines.
• Design data models and cloud data applications.
• Apply data quality standards.
• Own assigned workstreams independently from design through production support.
• Resolve production data issues.
• Collaborate across product, engineering, testing, and operations teams.
• Mentor less‑experienced team members where appropriate.
• Willingness and ability to travel up to 30% of the time.

Skills and Attributes

• Working knowledge and hands‑on experience building data platforms, pipelines, and cloud data applications using Snowflake.
• Working knowledge and hands‑on experience with ETL, streaming, and integration technologies such as Informatica, SnapLogic, and Kafka.
• Working knowledge of data modeling, SQL, database design, and query performance tuning.
• Working knowledge of cloud platforms such as AWS, Azure, and Google Cloud, and of Python, containers, and Kubernetes.
• Build resilient batch and streaming pipelines, and apply data quality, lineage, and observability standards.
• Own assigned workstreams independently from design through production support, and resolve production data issues.
• Collaborate across product, engineering, testing, and operations teams, and mentor less‑experienced team members where appropriate.
• Willingness and ability to travel up to 30% of the time.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• At least 3 years of relevant experience in data engineering and cloud data platforms.
• Hands‑on experience with Snowflake and enterprise data platform development.
• Working knowledge of ETL, streaming, and integration technologies such as Informatica, SnapLogic, and Kafka.
• Experience with data modeling, SQL, database design, and performance tuning.
• Working knowledge of cloud platforms such as AWS, Azure, and Google Cloud.
• Experience with Python, containers, and Kubernetes.
• Experience with Jenkins, Artifactory, uDeploy, and CI/CD pipelines.
• Comfortable working in Agile environments and collaborating with business and technical stakeholders.

Benefits

• Comprehensive compensation and benefits package.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options.
• Flexible vacation policy – decide how much vacation time you need based on personal circumstances.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence as needed.

Pay

Base salary range:

• New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $78,600 to $146,100
• Bay Area California offices – $81,900 to $15