Data Engineering Manager: AI‑Driven Platforms & Hybrid Work

EY; San Diego (CA); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Job summary

EY is hiring a Data Engineering Manager in the United States. You will design and build AI and analytics solutions, collaborating with data scientists, engineers, and stakeholders to align technical requirements with business goals.

You will lead delivery across workstreams, manage budgets, and engage with clients to identify opportunities for additional services. Travel may be required as projects dictate.

Qualifications

• Bachelor’s degree in a data science/CS or related field.
• 4–6+ years of relevant experience in data engineering or analytics.
• Hands-on experience building scalable data solutions with Python, R, and SQL.
• Experience with data pipelines, streaming architectures and big data tooling.
• Cloud computing architecture and data integration skills.

Responsibilities

• Design and build AI/analytics solutions delivering business value.
• Lead workstreams and ensure quality in delivery.
• Engage with clients daily, identify opportunities for additional services.

Skills

Stakeholder management

GenAI / LLM tooling

Cross‑functional collaboration

Ambiguity handling

End-to-end pipeline ownership

Bias/quality checks

Tested, versioned code

Analytical problem solving

Clear communication

Project/engagement delivery

Client relationship building

Education

Bachelor's degree in Data Science/CS/related

Tools

Python

R

SQL

Data pipelines

Big data ecosystems

Cloud architecture

Data modeling

Software engineering

Data security

Ontology design

Database management

Semantic layer

Job description

EY is hiring a Data Engineering Manager in the United States. You will design and build AI and analytics solutions, collaborating with data scientists, engineers, and stakeholders to align technical requirements with business goals.

You will lead delivery across workstreams, manage budgets, and engage with clients to identify opportunities for additional services. Travel may be required as projects dictate.