Senior Data Engineer, Pricing

Boston, MA

Full Time Senior level / Expert
Wayfair Inc. logo
Wayfair Inc.
Apply now Apply later

Posted 1 month ago

Wayfair Analytics is the engine that powers an enterprise obsessed with data. We move fast,
iterating quickly on big business problems. We work smart, applying technology to unlock insights
and provide outsized value to our customers. We swing big, knowing our customers won’t benefit
from micro optimizations. Leveraging the largest data set for products sold in the Home space, this
team treats data as an asset and determines how to maximize its business value and extend our
competitive advantage.
Here at Wayfair, we have over 10 million different products and partner with over 11,000
suppliers across the globe! Each and every single one of these products has various data points
that are associated with it (dimensions, color, reviews, patterns, material, features, brand, etc…),
so when you add all of this up, we are truly working with massive and complex data sets. We are
using big data to change the way customers find and pick items to make their home a place that
they love!
This Sr Data Engineer will be working collaboratively with our Pricing teams to develop the data
infrastructure which enables our leadership team to make strategic decisions on product cost and
price with our suppliers at the speed of thought through self service reporting.
You will have the chance to combine a knowledge of business and deep expertise in data
engineering to own and deliver the right solution for the right business problem. Most
importantly, you will have the opportunity to move fast, adapt quickly, and leave a lasting mark
through the new solutions they deliver!

What you’ll do:

● Build data pipelines to assemble large, complex sets of data that meet non-functional and
functional business requirements
● Build analytical tools to utilize the data pipeline, providing actionable insight into key
business performance metrics including operational efficiency and customer acquisition
● Work closely with data architect, SMEs and other technology partners to develop &
execute on the data architecture roadmap for the pricing functional area
● Work with stakeholders including the Executive, Product, Customer teams to support
their data infrastructure needs while assisting with data-related technical issues
● Act as a subject matter expert to leadership for technical guidance, solution design and
best practices within the Pricing organization
● Be a technical leader to junior engineers, ensure the team is being challenged, expose your
team to new opportunities, while still being able to deliver on ambitious goals.
● Keep current on big data and data visualization technology trends, evaluate, work on
proof-of-concept and make recommendations on the technologies based on their merit

What You Have:

● 7+ years of Data Engineer experience working in partnership with large data sets (5+TB
highly desired)
● Solid experience, developing and implementing DW Architectures, OLAP technologies,
data modeling with star/snowflake-schemas to enable self-service reporting, Change
Data Capture.
● Experience building data solutions within cloud platforms such as Google Cloud Platform
(preferred), AWS, Azure, or Snowflake including building & optimizing applications on
cloud based clusters
● Advanced SQL and programming experience with Python and/or Scala
● Experience or demonstrated understanding with real-time data streaming tools like
Kafka, Kinesis, Apache Storm or any similar tools
● Great problem solving capabilities, troubleshooting data issues and experience in
stabilizing big data systems
● Excellent communication and presentation skills as you’ll be regularly interacting with
stakeholders and engineering leadership.
● Bachelor’s or Masters in quantitative disciplines such as Computer Science, Computer
Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific
● Nice to Have: Hands-on deep experience with big data ETL technologies like Hadoop,
Spark; and experience working with query engines like Presto, BigQuery or other open
source big data Query & ETL engines.
● Nice to Have: Certification in one of the cloud platforms (AWS/GCP/Azure)

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

Job tags: AWS Big Data BigQuery Engineering ETL Hadoop Kafka Python Scala Spark SQL
Job region(s): North America
Share this job: