Data Engineer: AI Pipelines, ML Production, Equity

Socket.dev; Boulder (CO); On-site; USD 106,000 - 150,000; Full time

Job summary

Google in the United States is seeking a data-focused engineer to design, build, and maintain robust data pipelines, warehouses, and reporting systems. You will collaborate with data scientists and cross-functional teams to productionize models and ensure scalable data infrastructure.

The role emphasizes ETL development for large-scale data, data modeling, and working in Unix-like environments with NoSQL/distributed databases. Strong communication and organizational skills are essential.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year of experience designing data pipelines and dimensional data modeling for synch and asynch system integration.

Responsibilities

• Leverage advanced AI to design, develop, and support robust data pipelines, warehouses, and reporting systems.
• Create and optimize ETL processes for structured and unstructured sources across large-scale distributed data systems.
• Partner with data scientists to productionize models within data processing pipelines.
• Align with product, user, and engineering stakeholders to meet evolving data infrastructure needs.
• Produce technical design documents and drive continuous innovation with investigative tools for insights.

Skills

Coding experience

Data pipelines

Data modeling

Exploratory queries

Education

Bachelor's degree or equivalent

Tools

Flume

DataFlow

Spark

Job description

Google in the United States is seeking a data-focused engineer to design, build, and maintain robust data pipelines, warehouses, and reporting systems. You will collaborate with data scientists and cross-functional teams to productionize models and ensure scalable data infrastructure.

The role emphasizes ETL development for large-scale data, data modeling, and working in Unix-like environments with NoSQL/distributed databases. Strong communication and organizational skills are essential.