Senior Data Engineer

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.

A Little About Us

The Mail Analytics Infrastructure & Data Engineering team at Yahoo plays a fundamental role in enabling Yahoo Mail’s success by building mission critical data serving, pipelines, lakehouse, core data sets, frameworks, tooling, analytics systems and infrastructures to support the ever-growing demand for Data and analytics. 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. 

A Lot About You

As a Senior Data Engineer, you will work to define the data ontology for all of Yahoo Mail, establish standard methodologies for data operations and lifecycle management, design and build analytics tooling and frameworks, and influence event instrumentation. Additionally, this role is highly multi-functional, requiring close collaboration with Data Science and Machine Learning teams to understand customer requirements and analytics applications, as well as with other Mail engineering teams to develop integrated solutions.

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 thrive on building data infrastructure and platforms that power modern data- and AI-driven businesses at scale, we’d love to hear from you!

Your Day

• Partner with Data Science, Product, and Engineering to collect requirements to define the data ontology for Mail Data & Analytics

• Lead and mentor junior Data Engineers to support Yahoo Mail’s ever-evolving data needs

• Design, build, and maintain efficient and reliable batch data pipelines to populate core data sets

• Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products

• Establish and promote standard methodologies for data operations and lifecycle management

• 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

• 6+ years of experience building scalable ETL pipelines on industry standard ETL orchestration tools (Airflow, Composer, Oozie) with deep expertise in SQL, PySpark, or scala.

• Built, scaled, and maintained Multi-Terabyte data sets and having an expansive toolbox for debugging and unblocking large scale analytics challenges (skew mitigation, sampling strategies, accumulation patterns, data sketches, etc.)

• Experience with at least one major cloud's suite of offerings (AWS, GCP, Azure).

• Developed or enhanced ETL orchestrations tools or framework

• Worked within standard GitOps workflow (branch and merge, PRs, CI / CD systems)

• Experience working with GDPR

• Highly self-motivated with a strong sense of ownership

• Detail-oriented with a commitment to quality and accuracy

• Collaborative team player who contributes positively to group success

• Strong written and verbal communication skills

• Able to prioritize effectively, manage multiple tasks, and set clear expectations

Preferred

• 3+ 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 $128,250.00 - $266,875.00/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.