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Yahoo

Data Engineer II

Reposted Yesterday
Remote
Hiring Remotely in United States of America
111K-231K Annually
Mid level
Remote
Hiring Remotely in United States of America
111K-231K Annually
Mid level
The Data Engineer II will develop and maintain large-scale data infrastructures, create data frameworks, manage service agreements, and collaborate with various teams to deliver data solutions.
The summary above was generated by AI
Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.

The Mail Analytics Infrastructure & Data Engineering team at Yahoo is responsible for building mission critical data serving, pipelines, lakehouse, analytics systems and infrastructures for the Yahoo Mail business. We are constantly pushing the envelope of data & analytics platforms due to the massive volume of data we need to harness in order to drive the explosive growth of AI advances. 

Power the Future of Data & Analytics at Yahoo Mail

As part of the Mail Analytics Infrastructure & Data Engineering team, you will be working on large-scale batch pipelines, data serving, data lakehouse, and analytics systems, enabling mission critical decision making, downstream, AI-powered capabilities, and more.

If you're passionate about building data infrastructure and platforms that power modern Data- and AI-driven business at scale, we want to hear from you!

Your Day

  • Develop new or improve and maintain existing large-scale data infrastructures and systems for data processing or serving, optimizing complex code through advanced algorithmic concepts and in-depth understanding of underlying data system stacks

  • Create and contribute to frameworks that improve the efficacy of the management and deployment of data platforms and systems, while working with data infrastructure to triage and resolve issues

  • Prototype new metrics or data systems

  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership

  • Develop complex queries, very large volume data pipelines, and analytics applications to solve analytics and data engineering problems

  • Collaborate with engineers, data scientists, and product managers to understand business problems, technical requirements to deliver data solutions

  • Engineering consulting on large and complex data lakehouse data

Qualifications:

  • BS in Computer Science/Engineering, relevant technical field, or equivalent practical experience, with specialization in Data Engineering

  • 3-5 years of experience in Data Engineering (ETL, data lakehouse, Data Modeling)

  • Strong fundamentals: algorithms, distributed computing, data structure, database, data warehouse

  • Fluency with: Python/Java/SQL

  • Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations

Preferred Qualifications:

  • MS/PhD in Computer Science/Engineering or relevant technical field, with specialization in Data Engineering

  • 2+ years experience in Hadoop/Apache technologies (Pig, Hive, HBase, Storm, Spark, Kafka, Oozie)

  • 2+ years experience in Google Cloud Platform technologies (BiqQuery, Dataproc, Dataflow, Composer, Looker)

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.

The compensation for this position ranges from $111,000.00 - $231,250.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

Currently work for Yahoo? Please apply on our internal career site.

Top Skills

Apache
BigQuery
Composer
Dataflow
Dataproc
Google Cloud Platform
Hadoop
Java
Looker
Python
SQL

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