Senior Data Application Engineer, Core

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.https://hiring.corp.google.com/pro/hms/? content_ref=at+corp+eng+we+build+world+leading+business+solutions+that+scale+a+more+helpful+google+for+everyone#/hms/details/8897c302-fd08-4c6a-9d3e-d08a4a0fe72e? tab=1

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.https://hiring.corp.google.com/pro/hms/? content_ref=we+are+seeking+an+experienced+senior+data+engineer+in+the+spaces+engineering+team+to+lead+design+and+implementation+of+data+foundations+specifically+for+google+s+real+estate+and+workplace+services+rews+it+portfolio#/hms/details/8897c302-fd08-4c6a-9d3e-d08a4a0fe72e? tab=1

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.https://hiring.corp.google.com/pro/hms/? content_ref=the+successful+candidate+will+be+instrumental+in+implementing+and+maintaining+an+ai+ready+data+landscape+ensuring+our+data+foundation+seamlessly+supports+all+facets+of+our+operations+from+high+level+strategic+portfolio+planning+and+the+integration+of+third+party+systems+data+to+the+advanced+analytical+demands+of+our+existing+reporting+business+intelligence+layer+and+forthcoming+ai+ml+initiatives#/hms/details/8897c302-fd08-4c6a-9d3e-d08a4a0fe72e? tab=1

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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* 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.