Senior Data Application Engineer, Core

Google Inc.; San Jose (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google Inc. seeks a Senior Data Application Engineer within the Spaces Engineering team to lead the design and implementation of data foundations for Real Estate and Workplace Services IT.

You will build AI-ready data landscapes, develop robust data pipelines, and collaborate with enterprise data architects and engineers to enable ML initiatives. You will own end-to-end data solutions, drive governance standards, and contribute to scalable architectures that serve strategic portfolio planning

Qualifications

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

Responsibilities

• Lead the implementation of data foundations and high-performance pipelines for real estate functions to support AI consumption.
• Design modern, automated data pipelines to extract data from internal and external sources with high quality and integrity.
• Set up cloud data lakehouses to support real-time streams, AI-ready datasets, and data-mmesh architectures.
• Ensure data governance standards via data contracts and automated quality checks across assets.
• Design, build, and audit SQL-based workflows and advanced queries in cloud data warehouses.

Skills

Python

Java

SQL

Data architecture

Education

Bachelor's degree in Computer Science, MIS, or other technical field, or equivalent practical experience

Job description

corporate_fare Google place San Jose, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• 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

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.