About the teamZillow's AI Enablement team is part of the Central Data Engineering Organization and works closely with multiple product and analytics organizations. You will contribute to the design and implementation of data engineering solutions that will simplify data intensive parts of the ML lifecycle such as feature engineering. Our current focus is to work with our ML stakeholders to define end-to-end data solutions for various ML pipelines powering GenAI based offerings.
Acerca del equipo
El equipo de AI Enablement de Zillow forma parte de la Organización Central de Ingeniería de Datos y trabaja en estrecha colaboración con múltiples organizaciones de productos y análisis. Contribuirás al diseño e implementación de soluciones de ingeniería de datos que simplificarán las partes intensivas en datos del ciclo de vida de ML, como la ingeniería de características. Nuestro objetivo actual es trabajar con nuestras partes interesadas en ML para definir soluciones de datos de extremo a extremo para varias canalizaciones de ML que impulsan las ofertas basadas en GenAI. About the roleAs a Software Development Engineer in the Zillow Group AI Enablement team, you will :
Design and build scalable streamings systems for orchestrating end to end event storage, enrichments and accessCollaborate with various internal teams (platform, product, ML engineering) to scope and deliver tools ensuring ease of system useWork with a variety of technologies such as Flink, Spark, Kafka, dbt, DynamoDB, AWS Transcribe, etc.Code with the best language for the job, be it - Java, Python, Go or Scala Sobre el puesto
Como Ingeniero de Desarrollo de Software en el equipo AI Enablement de Zillow Group, deberás :
Diseñar y construir sistemas de streaming escalables para orquestar el almacenamiento, enriquecimiento y acceso a eventos de extremo a extremo.Colaborar con varios equipos internos (plataforma, producto, ingeniería ML) para alcanzar y entregar herramientas que garanticen la facilidad de uso del sistema.Trabajar con una variedad de tecnologías como Flink, Spark, Kafka, dbt, DynamoDB, AWS Transcribe, etc.Código con el mejor lenguaje para el trabajo, ya sea - Java, Python, Go o Scala This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.
In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.
Who you areA degree (BS+) in Computer Science or a related discipline3+ years of experience with building and maintaining data intensive applicationsStrong background in Java or PythonExcellent interpersonal skills and passionate about collaborating across organizational boundariesFluent in English and Spanish (both written and spoken). Must be authorized to work in Mexico. Nice to have: Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliabilityExperience working with cloud services (AWS/Azure/GCP)Experience with modern data technologies (Spark, Flink, Kafka, Airflow)Experience with Databricks Quién es usted Licenciatura (BS+) en Informática o una disciplina relacionadaMás de 3 años de experiencia en la creación y el mantenimiento de aplicaciones con uso intensivo de datosSólidos conocimientos de Java o PythonExcelentes habilidades interpersonales y pasión por la colaboración a través de los límites de la organizaciónFluidez en inglés y español (tanto escrito como hablado).Debe estar autorizado para trabajar en México. Se valorará positivamente: Experiencia en el desarrollo de sistemas de software complejos que escalan a millones de usuarios con despliegue de calidad de producción, monitoreo y confiabilidadExperiencia trabajando con servicios en la nube (AWS/Azure/GCP)Experiencia con tecnologías de datos modernas (Spark, Flink, Kafka, Airflow)Experiencia con Databricks Get to know usZillow is reimagining real estate to make it easier to unlock life's next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. We're also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don't just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees' Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.