Cloud AI Data Engineer — Build Scalable Data Pipelines

Google LLC; Seattle (WA); On-site; USD 156,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off

Equity and bonus target

Job summary

Google LLC in the United States is hiring an AI Data Engineer to guide customers on ingesting, storing, processing, and visualizing data on Google Cloud Platform. You will lead data migrations and build scalable data processing pipelines, collaborating with clients to implement robust data solutions.

The role emphasizes working with Google Cloud products, engaging with strategic customers, and delivering end-to-end data architectures that scale across industries. English proficiency is required.

Qualifications

• Bachelor's degree in CS or related field required.
• 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
• Experience managing client-facing projects and collaborating with Engineering and Sales Services teams.
• Experience with database administration techniques or data engineering; proficiency in Java, Python, or SQL.

Responsibilities

• Act as a trusted technical advisor to customers and solve complex Big Data challenges.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations for varied stakeholders.
• Analyze on-premises and cloud database environments and advise on optimal design for performance on Google Cloud Platform.
• Travel regularly up to 30% for in-region meetings, technical reviews, and onsite delivery activities.
• Communicate effectively via video conferencing for meetings and reviews.

Skills

Big Data

Java

Python

SQL

Data analysis

Education

Bachelor's degree in CS or related field

Tools

Spark

Beam

Data warehouses

ETL/ELT

Job description

Google LLC in the United States is hiring an AI Data Engineer to guide customers on ingesting, storing, processing, and visualizing data on Google Cloud Platform. You will lead data migrations and build scalable data processing pipelines, collaborating with clients to implement robust data solutions.

The role emphasizes working with Google Cloud products, engaging with strategic customers, and delivering end-to-end data architectures that scale across industries. English proficiency is required.