Senior Data Engineer & Tech Lead for Scalable Pipelines

DeepMind Technologies Limited; New York (NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health, dental, vision, life, disable

401(k) with company match

Paid time off - 20 days/year

Sick time 40 hours/year (+ Seattle 69)

Maternity leave 28-30 weeks

Baby Bonding leave 18 weeks

13 paid holidays

Job summary

Google DeepMind is seeking a senior data engineer to architect and operate scalable data pipelines delivering telemetry across Gemini Apps. You will combine deep technical expertise with large-scale production experience to support growth and product improvements.

You will lead a small team of engineers, partnering with Data Science, model release, and feature teams to ensure fast, reliable access to analytics and training data at a global scale.

Qualifications

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
• 8 years of experience in software development.
• Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake.
• Experience developing, debugging, and supporting large-scale data pipelines.
• Experience with distributed data processing frameworks and workflow orchestration tools.
• Experience in Go/C++.
• Experience in a technical Lead role, setting technical direction.
• Ability to address daily business data requirements and scale Gemini Apps’ analytics.

Responsibilities

• Work closely with Data Science counterparts to define goals for a Modern Data Warehouse.
• Architect and build scalable batch and real-time pipelines powering experimentation and ML/AI training loops.
• Own data quality, reliability, and observability end-to-end, including SLAs/SLOs for critical datasets.
• Mentor and grow other engineers, elevating the technical bar through reviews and feedback.
• Drive cross-functional engineering initiatives spanning multiple teams; translate requirements into designs.

Skills

Go/C++

Technical leadership

Data engineering

Distributed processing

Large-scale pipelines

Education

Bachelor's degree in Computer Science or related technical field

Tools

Apache Spark

Flink

Beam

Airflow

BigQuery

Snowflake

Job description

Google DeepMind is seeking a senior data engineer to architect and operate scalable data pipelines delivering telemetry across Gemini Apps. You will combine deep technical expertise with large-scale production experience to support growth and product improvements.

You will lead a small team of engineers, partnering with Data Science, model release, and feature teams to ensure fast, reliable access to analytics and training data at a global scale.