Data Engineer: AI-Driven Data Pipelines & Warehouses

Google; Boulder (CO); On-site; USD 106,000 - 151,000; Full time

Job summary

Google's gTech gUP Engineering team in Boulder, CO is seeking a Data Engineer to design and implement scalable data pipelines and data warehouses that power our Ads experiences. You will collaborate with cross-functional teams, productionize models, and optimize data flows across structured and unstructured sources using Spark, DataFlow, and related technologies.

Required: a Bachelor's degree or equivalent practical experience plus hands-on data engineering experience; preferred Master’s degree

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience designing data pipelines and dimensional data modeling.
• 1 year of experience coding in one or more programming languages.
• Experience with exploratory queries and scripting on data models.

Responsibilities

• Utilize AI technologies to integrate data streams into scalable applications and workflows.
• Design, develop, and support data pipelines, data warehouses, and ETL systems.
• Modify data models and refine pipelines to resolve core technical and business issues.
• Collaborate with data scientists and cross-functional partners to productionize models within pipelines.

Skills

Data pipelines

Dimensional data modeling

Programming

Education

Bachelor's degree

Master's degree

Tools

Flume

DataFlow

Spark

Job description

Google's gTech gUP Engineering team in Boulder, CO is seeking a Data Engineer to design and implement scalable data pipelines and data warehouses that power our Ads experiences. You will collaborate with cross-functional teams, productionize models, and optimize data flows across structured and unstructured sources using Spark, DataFlow, and related technologies.

Required: a Bachelor's degree or equivalent practical experience plus hands-on data engineering experience; preferred Master’s degree