Staff Data Platform Engineer: ML Pipelines & Mentoring

Google DeepMind; Seattle (WA); On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401k with Company Match

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Job summary

Google DeepMind in Seattle is seeking an experienced Software/Data Engineer to architect and build scalable data pipelines supporting experiments, analytics, and ML/AI training.

You will own data quality and reliability, mentor engineers, and lead cross-functional initiatives to improve systems and workflows. A BS in CS and 8+ years of experience are required, with preference for leadership in data processing frameworks.

Qualifications

• Bachelor's degree in Computer Science or a related field is required.
• 8+ years of software development experience required.
• Experience leading technical teams preferred.

Responsibilities

• Architect and build scalable data pipelines to support experimentation, product analytics, and ML/AI training loops.
• Own data quality and reliability across systems.
• Mentor other engineers and drive cross-functional initiatives.

Skills

Apache Spark

Flink

Beam

Airflow

BigQuery

Snowflake

Data Pipelines

Distributed Data Processing

Workflow Orchestration

Go

C++

Technical Leadership

Data Quality

Reliability

Observability

Mentoring

Education

Bachelor's in Computer Science

Job description

Google DeepMind in Seattle is seeking an experienced Software/Data Engineer to architect and build scalable data pipelines supporting experiments, analytics, and ML/AI training.

You will own data quality and reliability, mentor engineers, and lead cross-functional initiatives to improve systems and workflows. A BS in CS and 8+ years of experience are required, with preference for leadership in data processing frameworks.