Cloud Data Engineer II, Supplier Advertising

Wayfair - Boston, MA

Full-time - Mid Level

Boston, MA

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

As a Cloud Data Engineer II at Wayfair, you will play a crucial role in designing and delivering data solutions that support the Supplier Advertising organization. This position involves building data pipelines, developing data warehouses and lakes, and creating self-service tools for real-time streaming and big data solutions. You will collaborate with various stakeholders to ensure the data architecture meets business needs and supports advanced analytics across the company.

Responsibilities

• Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements
• Deliver Data Engineering capabilities for streaming and batch-based data ingestion, enrichment, and aggregation
• Design and develop sophisticated data models and visualizations that support multiple use cases across different products or domains
• Help teams push the boundaries of analytical insights, creating new product features using data, and powering machine learning models
• Define and manage SLA for all data sets in allocated areas of ownership
• Work closely with the GST data engineering group, SMEs within Supplier Advertising, and other technology partners to develop & execute the data architecture roadmap for different functional areas
• Mentor and grow the technical skills of engineers across multiple sprint teams by giving high-quality feedback in design and code reviews and providing training for new methods, tools, and patterns
• Collaborate with your stakeholders and other business analytics team leaders

Requirements

• Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline
• 3+ years of experience in Data Engineering roles (including internships)
• Expertise in at least one object-oriented or scripting language (Java, Scala, Python, etc.) and comfortable working with SQL
• 1+ years' experience with schema design and dimensional data modeling
• Experience building and optimizing 'big data' data pipelines, architectures, and data sets
• Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale
• Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools
• Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools such as Airflow, dbt, Glue, and Beam
• Experience in the development of custom-built BI and big data reporting solutions using tools like Looker, DataStudio, or any similar tools
• Experience with code management tools (e.g., Git, SVN) and DevOps tools (e.g., Docker, Jenkins)
• Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross-functionally through collaboration with engineering and business partners
• Ability to learn quickly and drive deliverables while maintaining ownership/bias
• A team player who is at ease delivering in a group setting

Nice-to-haves

• Advertising or E-commerce analytics experience is a strong plus
• Prior experience in data science or closely related quantitative field