Data Engineer Manager

Job Description

Position Summary

We are hiring a Senior Data Engineer in Bellevue, Washington to help build, scale, and maintain the data infrastructure needed to transform data into actionable insights and science-driven capabilities across our food, home, and lifestyle products. The Senior Data Engineer will be an experienced engineer and leader on the Data Science and Analytics team. They will help advise and create a scalable data ecosystem that encompasses the many data elements produced across our direct-to-consumer products and apps. This role will build new data sets, scale existing data sets, and create innovative data solutions to support consumer products across mobile, tablets, web, connected TV, voice, and emerging technologies. They will use big data platforms, data warehousing, and business intelligence technology to enable data science, machine learning, and self-service visualization analytics to drive these insights and product capabilities. This senior engineer will ensure the ongoing performance of reliable and efficient data systems using AWS and other data technologies.

An ideal candidate will be a driven, passionate advocate for building and maintaining highly scalable data systems, and using that data to support analytics and solutions that produce great experiences for our customers. This person will make data-driven decisions, have an insatiable curiosity, and obsess about their customers. They will have a strong point of view but remain open-minded should evidence lead in another direction. They are a senior member of the team whom others enjoy working with because they are reliable, innovative, and care for their team members. They build trust with people from all areas of the business and have a proven track record. This senior engineer takes end-to-end ownership and consistently delivers results in a fast-paced environment.

Responsibilities
• Champion hiring and build a strong team of data engineers; support hiring of data scientists, analysts, and other technical professionals, helping them enhance their skills, while supporting a fun and engaging culture.

• Build cross-functional relationships with product, marketing, engineering, and analytics to understand what data structures and systems are needed to support key business goals and processes.

• Proactively drive the vision for Data, Analytics and Reporting across a product vertical, and define and execute on a plan to achieve that vision

• Work with engineering and partner teams to identify scalable, accessible data sources for analysis and operational use.

• Design, build, maintain, and improve a scalable data architecture and infrastructure to deliver customer, product, and marketing insights.

• Prepare redundant and scalable systems that efficiently use resources and elegantly handle disruptions.

• Ensure data integrity and accuracy across all owned data systems and sources; Define, manage and own data quality and SLA for all data sets and ETL processes in production.

• Partner with central data warehousing team to ensure all relevant data is accessible enterprise-wide and meets common standards.

• Make data engineering techniques approachable and understandable to non-data engineers or scientists.

• Embrace and advocate customer centricity and support and guide team members in making best decisions.

• Be a coach and mentor for lesser experienced team members but also be ready for direct contribution opportunities.

• Actively seek out engineering challenges and position the team for success.

Nearest Major Market: Seattle

Nearest Secondary Market: Bellevue

Jobcode: Reference SBJ-rbxwbx-18-191-5-239-42 in your application.