Senior Data Engineer — AI-Driven Data Platform

EY; Austin (TX); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off options

Job summary

EY is seeking a Senior Data Engineer to design and build AI and analytics solutions, delivering significant business value. You will collaborate with data professionals, management, and stakeholders to align technical requirements with business needs and create scalable data architectures that support the data asset lifecycle.

You will work on transforming data into actionable insights, with responsibilities across data architecture, modeling, and production handoff, while staying ahead of

Qualifications

• Bachelor’s degree in Data Science, ML, CS, Statistics, Math, Engineering or related field is required.
• Typically, 2–4 years of relevant experience.
• Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.
• Proficiency in cloud computing and data architecture design.
• Data integration and data security knowledge.

Responsibilities

• Design, build, and operate scalable data architectures on‑premises or in the cloud.
• Analyze business requirements and translate into technical specifications.
• Optimize data flows for target data platform designs.

Skills

Hybrid collaboration

Complex problem-solving

Critical thinking

Communicating with impact

Teamwork

Building and managing relationships

Education

Bachelor's degree

Tools

Python

R

SQL

Cloud computing

Job description

EY is seeking a Senior Data Engineer to design and build AI and analytics solutions, delivering significant business value. You will collaborate with data professionals, management, and stakeholders to align technical requirements with business needs and create scalable data architectures that support the data asset lifecycle.

You will work on transforming data into actionable insights, with responsibilities across data architecture, modeling, and production handoff, while staying ahead of