Facebook pixel

Staff Software Engineer
Machine Learning Platforms
Posted on 12/30/2022
INACTIVE
Locations
Dorchester, Boston, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Google Cloud Platform
Java
Airflow
Kubernetes
Requirements
  • Broad experience architecting and implementing robust, scalable, distributed data systems and data/event-based business systems (10+ years or equivalent track-record)
  • Track-record of bringing new technical innovations to production environments
  • Track-record of being a hands-on developer efficiently building high quality, scalable and sound data engineering solutions
  • Superior organizational and analytical skills with hypothesis- driven problem solving and turning data into actionable insights
  • Excellent communication skills with demonstrated experience driving teams forward and ability to influence decisions
  • Experience with public cloud reference architectures and services, such as Google Cloud Platform or AWS
  • Experience with Kubernetes containerization, Java, Presto, Dataflow, DBT, Airflow, Spark, and microservices preferred
Responsibilities
  • Establishing the overarching architecture and best practices for our data and ML use cases, implement robust, well-tested services and provide technical design and code reviews for peers within their team and across the broader org
  • Spearhead engineering efforts across multiple platforms and data engineering efforts
  • Lead in setting appropriate data standards, governance and domain-driven data ecosystem, observability of the data pipelines, and implementation design patterns guiding data product teams as they mature their solutions, create efficiencies for the users and do so in a cost efficient and cloud native manner
  • Promote a culture of engineering excellence, up-leveling the technical expertise of engineers across the org
  • Providing insights into opportunity areas for the platform, influencing priorities and team roadmaps in close partnership with Engineering and Product leadership and working with Wayfair's engineering leadership to develop a robust engineering strategy and architecture to drive velocity for our data and ML teams
  • Provide technical guidance for a team of 40/direct and 100-150/indirect software and data engineers and help shape the future roadmap for software platforms
  • Architect and implement robust, well-tested services. Provide technical design and code reviews for peers within your team and across org
  • Identify and implement new tools, technologies, and processes to accelerate developer velocity within our teams
  • Contribute to the technical development of engineers by mentoring and coaching them through learning opportunities
Wayfair

5,001-10,000 employees

Online home goods retailer
Company Overview
Wayfair's mission is on a mission to help everyone, anywhere create their feeling of home. Wayfair is an online retailer that offers a wide selection of home furnishings and decor.
Company Core Values
  • Relentless customer focus
  • Deliver results with agility
  • Use good judgement
  • Build the best team
  • Collaborate effectively
  • Respect others
  • Be an owner
  • Innovate & improve
  • Adapt & grow