Data Monitoring Engineer

Mid

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

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in an investigative role (e.g., media analytics, advertising sales, consulting, or financial analysis).
• Experience with coding, relational databases, SQL queries, database definitions, and schema design.
• Experience designing data pipelines, and dimensional data modeling for synchronous and asynchronous system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).

Preferred qualifications

Experience supporting client-side media and marketing data science.

Experience with big data technologies (e.g., Hadoop, Spark).

Experience in a non-technical stakeholder-facing role.

Understanding of incrementality measurement methodologies and frameworks.

Ability to be proactive and flexible to operate in a fast-paced, constantly evolving and collaborative environment.

About the job

In this role, you will play a vital role in building and maintaining the data infrastructure that fuels our marketing strategy. You will design, develop, and optimize data pipelines, ensuring data quality and accessibility for advanced analytics. You will enable the marketing team to leverage data-driven insights to optimize campaigns and measure the impact of marketing initiatives. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines to collect, process, and store data from various data sources.

Implement robust data quality checks and monitoring to ensure data accuracy and integrity.

Collaborate with cross-functional teams (marketing, data science, engineering, analytics) to understand data requirements and deliver impactful data solutions.

Optimize data infrastructure for performance, efficiency, and scalability to meet evolving business needs.

Create and maintain dashboards and reports to provide actionable insights to the marketing team.

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.

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