Senior Software Development Engineer, Big Data
Mexico City
Applications have closed
About the team
The Data Platform Infrastructure team builds the data ingress, processing and storage backbone enabling engineering, AI, data science, analytics, and product teams throughout Zillow Group to use data to understand and delight our customers.About the role
The Data Platform Infrastructure team consists of 6 senior software development engineers. They are responsible for developing and supporting data platforms infrastructure making use of data technologies including Spark, Hive, Airflow, Databricks, Kafka, Flink, along with other industry and internal tools. In addition to the Data Platform Infrastructure team, there are two other development teams with Data Platform organization that the senior software development engineers will work closely with:
- 1. Governance team: This team provides guardrails for security, privacy, and data quality. They ensure that the data infrastructure and processes adhere to industry standards and best practices.
- 2. Data Authoring eXperience (DAX) team: This team focuses on providing processes and tools for data practitioners. They enable data practitioners to work efficiently by offering tools like DBT, Eventhub, and environment provisioning.
All three teams (Data Platform Infrastructure, Governance, and DAX) collaborate closely to provide Data Platform Environments that enable internal ZG customers to deliver high quality data solutions for varied use cases across all of ZG.
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 are
Collaboration and Leadership:
- Strong communication and collaboration skills are essential for working in a team environment.
- The candidate should be able to effectively collaborate with other team members, stakeholders, and data scientists to understand their requirements and provide solutions.
- They should also be capable of leading and mentoring junior data engineers within the team.
Problem-solving and Agile Mindset:
- The candidate should have a strong problem-solving ability and be comfortable working in an agile development environment.
- They should be able to quickly adapt to changing requirements and deliver high-quality solutions promptly.
Continuous Learning:
- should have a passion for continuous learning and staying updated with the latest trends and technologies in the data engineering field.
- They should be proactive in exploring new tools and techniques that can enhance the clickstream data processing capabilities.
General Requirements:
- Familiarity with underlying infrastructure like Kubernetes
- Can they debug a service in an AWS/Kubernetes environment
- Has done a variety of support with different platforms (DATABRICKS is a huge plus)
- They’ve needed to piece things together - Had to setup various different tools associated with a platform and a solution. (Small companies that dont have an infrastructure team to support - they have to do it themselves)
- They will be in charge of bringing databricks into Zillow
- They will work with Streeteasy and Showingtime+ and work on integrating those data infrastructure into Zillows infrastructure.
- Consulting background could be very good in this role
- We are looking for problem solvers - people who are unafraid to jump into the problem and learn more are good!
- Big plus is having an aptitude for setting up common processes (scalability across multiple user groups/teams)
Get to know us
Zillow 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 us at RecruitingAccessibility@zillowgroup.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Big Data Consulting Databricks Data quality dbt Engineering Flink Kafka Kubernetes Privacy Security Spark
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Startup environment Team events
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