Senior Data Application Engineer, Core

Google

San Jose (CA)

On-site

USD 163,000 - 236,000

Full time

10 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Google is seeking a Senior Data Application Engineer in the Spaces Engineering team to lead the design and implementation of data foundations for the Real Estate and Workplace Services IT portfolio. You will implement and maintain an AI-ready data landscape, ensuring data foundations support from portfolio planning to advanced analytics and AI initiatives.

You will collaborate with enterprise data architects and application engineers, build robust data pipelines, governance frameworks, and

Qualifications

  • Bachelor's degree in CS, MIS, or related field, or equivalent practical experience.
  • 8 years of experience programming with Python or Java and experience with SQL queries and database development.
  • 8 years of experience designing and implementing modern data architectures for enterprise-level data.

Responsibilities

  • Lead data foundations implementation and AI-ready data landscape for Real Estate and Workplace Services.
  • Design automated data pipelines to extract data from internal and external sources while ensuring high quality and integrity.
  • Set up modern cloud data lakehouses to support real-time streams, AI-ready datasets, and data-mmesh architectures.
  • Ensure adoption of data governance standards by implementing data contracts and automated quality checks.
  • Design, build, and audit optimized SQL-based workflows and analytical queries in cloud data warehouses.

Skills

Python
Java
SQL
Data architecture

Education

Bachelor's degree in CS or MIS or related field
Master's degree (preferred)

Job description

  • Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
  • 8 years of experience programming with Python or Java, and experience with SQL queries and database development.
  • 8 years of experience designing and implementing modern data architectures for enterprise-level data.
Minimum qualifications
  • Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
  • 8 years of experience programming with Python or Java, and experience with SQL queries and database development.
  • 8 years of experience designing and implementing modern data architectures for enterprise-level data.
Preferred qualifications
  • Master's degree in Computer Science, MIS or related technical field or equivalent practical experience.
  • Experience with artificial intelligence and machine learning concepts and their specific data requirements.
  • Familiarity with established data governance frameworks and best practices for ethical AI and data privacy.
About the job

You lead all aspects of web development, requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for both in-house and customer-facing web applications. You will work closely with a cross-functional team of Googlers using UI and functional specs/prototypes as input. You are empowered to act like an owner, take action and innovate to meet user and customer needs. At Corporate Engineering, we build world-leading business solutions that scale a more helpful Google for everyone. As a Senior Data Application Engineer in the Spaces Engineering team, you will lead the design and implementation of data foundations for the Real Estate and Workplace Services IT portfolio. You will implement and maintain an AI-ready data landscape, ensuring our data foundation seamlessly supports operations ranging from high-level strategic portfolio planning to advanced analytical demands and upcoming artificial intelligence initiatives. You will collaborate extensively with enterprise data architects and application engineers, build robust data pipelines, governance frameworks, and automations to optimize our data ecosystem for machine learning applications.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • Lead the implementation of data foundations, including high-performance models and reliable pipelines for real estate functions, to optimize data for artificial intelligence consumption.
  • Design modern, automated data pipelines to extract data from various internal and external sources while ensuring high-quality, consistency, and structural integrity.
  • Set up modern cloud data lakehouses to support a complex ecosystem of real-time streams, AI-ready datasets, and data-mesh architectures.
  • Ensure the adoption of comprehensive data governance standards by implementing data contracts and automated quality checks across all real estate data assets.
  • Design, build, and audit highly optimized SQL-based workflows and advanced analytical queries in modern cloud data warehouses.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Data Application Engineer, Core
Senior Data Application Engineer, Core

Socket.dev • San Jose (CA)

On-site
USD 163,000 - 236,000
Senior Data Application Engineer, Core
Senior Data Application Engineer, Core

Google Inc. • San Jose (CA)

On-site
USD 163,000 - 236,000
Staff Software Engineer, Data Acquisitions
Staff Software Engineer, Data Acquisitions

Google • San Jose (CA)

On-site
USD 207,000 - 300,000
Equity
Benefits
Bonus target
Senior Staff Software Engineer, Data Infrastructure AI Agent
Senior Staff Software Engineer, Data Infrastructure AI Agent

Google Inc. • Sunnyvale (CA)

On-site
USD 262,000 - 364,000
Software Engineer III, AI/ML, Enterprise Engineering, Core
Software Engineer III, AI/ML, Enterprise Engineering, Core

Google • San Jose (CA)

On-site
USD 147,000 - 210,000
Senior Software Engineer III, AI/ML, Enterprise Engineering, Core
Senior Software Engineer III, AI/ML, Enterprise Engineering, Core

Google Inc. • San Jose (CA)

On-site
USD 174,000 - 252,000
Senior Staff Software Engineer, Data Infrastructure AI Agent
Senior Staff Software Engineer, Data Infrastructure AI Agent

Google • Sunnyvale (CA)

On-site
USD 262,000 - 364,000
Senior Data Engineer, Trust and Safety, Tech and Data Enablement
Senior Data Engineer, Trust and Safety, Tech and Data Enablement

Google • Austin (TX)

On-site
USD 156,000 - 226,000
Equity
Benefits
Software Engineering Manager, Core
Software Engineering Manager, Core

Google • Kirkland (WA)

On-site
USD 207,000 - 300,000
Health insurance
Retirement plan (401(k))
PTO 20 days/year
+4
Senior Data Platform Engineer — AI-Ready Analytics
Senior Data Platform Engineer — AI-Ready Analytics

Google Inc. • San Jose (CA)

On-site
USD 163,000 - 236,000