Staff Software Engineer - Data Pipelines & ML Systems Lead

Google DeepMind; Mountain View (CA); On-site; USD 180,000 - 240,000; 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 Mountain View, CA is seeking a senior engineer to architect and build scalable data pipelines that power experiments, product analytics, and ML/AI training loops. You will collaborate with cross-functional teams to drive engineering initiatives and mentor junior engineers.

Requirements include a BS in Computer Science or a related field and 8+ years of software development experience; strong experience with Spark, Flink, Beam, Airflow, BigQuery, and Snowflake is highly valued.

Qualifications

• Bachelor's degree in Computer Science or related field and 8+ years of software development experience.
• Experience with data processing frameworks and technical leadership is preferred.

Responsibilities

• Architect and build scalable data pipelines that support experiments, product analytics, and ML/AI training loops.
• Mentor engineers and drive cross-functional engineering initiatives.

Skills

Mentoring

Technical Leadership

Data Pipelines

Data Quality

Observability

Reliability

Workflow Orchestration

Distributed Data Processing

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Flink

Beam

Airflow

BigQuery

Snowflake

Go

C++

Job description

Google DeepMind in Mountain View, CA is seeking a senior engineer to architect and build scalable data pipelines that power experiments, product analytics, and ML/AI training loops. You will collaborate with cross-functional teams to drive engineering initiatives and mentor junior engineers.

Requirements include a BS in Computer Science or a related field and 8+ years of software development experience; strong experience with Spark, Flink, Beam, Airflow, BigQuery, and Snowflake is highly valued.