Senior Data Engineer — Cloud Data Platforms & Pipelines

Ernst & Young Advisory Services Sdn Bhd; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

EY is seeking a Service Delivery Center, Senior Data Engineer to build scalable data platforms, pipelines, and cloud data applications for financial services clients. You will design data models, implement ETL/streaming solutions, and own data workstreams from design to production support.

The role requires Snowflake, ETL, Kafka, and cloud platform experience, plus Python, containers, and Kubernetes. Travel up to 30% may be required in a fast-paced environment.

Qualifications

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

Responsibilities

• Design, build, and deliver scalable data platforms and pipelines.
• Develop cloud data applications and data models for clients.
• Ensure data quality, lineage, and observability across pipelines.
• Collaborate with product, engineering, testing, and operations teams.
• Mentor junior team members and manage assigned workstreams.

Skills

Data pipeline design

Data modeling

SQL

Cloud data platforms

Python

Agile

Mentoring

Travel readiness

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

Informatica

SnapLogic

Kafka

AWS

Azure

Google Cloud

Python

Kubernetes

Jenkins

Artifactory

uDeploy

Job description

EY is seeking a Service Delivery Center, Senior Data Engineer to build scalable data platforms, pipelines, and cloud data applications for financial services clients. You will design data models, implement ETL/streaming solutions, and own data workstreams from design to production support.

The role requires Snowflake, ETL, Kafka, and cloud platform experience, plus Python, containers, and Kubernetes. Travel up to 30% may be required in a fast-paced environment.