Senior Data Engineer: AI-Driven Pipelines at Scale

Google LLC; Boulder (CO); On-site; USD 156,000 - 226,000; Full time

Job summary

Google in Boulder is seeking a Senior Data Engineer to drive end-to-end data architectures powering support and product experiences across Google's ecosystem.

You will scope nebulous data challenges, guide technical strategy, and mentor fellow engineers while scaling Google’s data infrastructure. You will design scalable data models, lead telemetry architectures, and integrate AI/ML workflows across large pipelines to deliver actionable insights and robust data solutions.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years designing data pipelines and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Responsibilities

• Own the architecture, technical roadmap, and priorities for large-scale data products, pipelines, and reporting systems within gUP.
• Scope difficult, nebulous technical problems and deliver robust, optimal solutions without needing continual oversight or steering.
• Lead complex architectural constraints across data sources, target interfaces, storage systems, and latency/frequency requirements while building components that scale cleanly.
• Leverage AI and machine learning techniques to automate workflows and productionize models within large-scale distributed data processing pipelines.
• Partner directly with Users and Products leadership and cross-functional teams to translate strategic business needs into technical data architecture roadmaps.

Skills

Data pipelines

Dimensional data modelling

Programming languages

Data infrastructure

Exploratory queries

Education

Bachelor's degree or equivalent

Master's degree

PhD

Tools

Flume

Dataflow

Spark

Job description

Google in Boulder is seeking a Senior Data Engineer to drive end-to-end data architectures powering support and product experiences across Google's ecosystem.

You will scope nebulous data challenges, guide technical strategy, and mentor fellow engineers while scaling Google’s data infrastructure. You will design scalable data models, lead telemetry architectures, and integrate AI/ML workflows across large pipelines to deliver actionable insights and robust data solutions.