12 Apr
AI/ML - Data Infrastructure Client and Tooling Engineer, Siri Search, Knowledge & Platform in Seattle, WA (remote to start)
Washington, Seattle-tacoma , 98101 Seattle-tacoma USA

Vacancy expired!

You will be a key member of the client engineering team that drives user engagement with our new generation of data platform. Also, you will collaborate cross-functionally with data, product management, and infrastructure teams and provides data tools to enable ingesting, storing, processing, and interacting of data with a focus in user experience.

Team Information

You will be a part of the Data Infrastructure team within an organization that powers analytics, experimentation, and Machine Learning feature engineering. The Data Infrastructure organization's mission is to provide our engineers and data scientists a cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data and ultimately helping the teams that build data-intensive applications be successful. You will work with many cross-functional teams and lead the planning, execution, and success of technical projects with the ultimate purpose of improving the experience for customers. We are looking for engineers who want to bring their passion for infrastructure to build world-class infrastructure products. Are you passionate about building scalable, reliable, maintainable infrastructure and solving data problems at scale? Join us and be part of the Data Infrastructure journey.

Responsibilities
  • Collaborate with our infrastructure users and product management to ensure success in customer engagement and onboarding of new users
  • Be an advocate of our tech stack, stay on top of technology advancement and explore innovation opportunities
  • Prototype, build, diagnose, fix, improve and automate complex issues across the entire stack to power ETL, analytics, and privacy efforts across AI/ML
  • Advise and support other teams on proper integration of our platform, including holding regular brown bag, office hour, and training sessions
  • Build relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs
  • Establish and fulfill SLAs for supported data tools

Required Skillset
  • 5+ years of experience in big data ecosystem;
  • Batch and stream processing (e.g. Spark, Hive, Flink, Beam)
  • Analytical engines (e.g. Presto, Druid)
  • Search platform (e.g. Solr/Lucene)
  • Tooling (e.g. Airflow, Jupyter, Superset, Tableau)
  • Storage format (e.g. Iceberg)
  • Excellent verbal and written communication skills, able to collaborate cross-functionally with data science, machine learning, data platform and analytics teams
  • Customer-focused mindset, with emphasis on user experience and satisfaction
  • Superb problem-solving skills, and able to thrive in a fast-paced and dynamic environment
  • Hands-on in designing, building, scaling, and troubleshooting solutions to big data problems
  • Must be self-driven, and able to provide advice and support to users to properly integrate with our data platform
  • Programming experience in Java, Python, Scala, or similar languages
  • BS, MS, or PhD degree in Computer Science or equivalent

Desirable Skillset
  • Passionate about latest big data technologies, open source community presence is a big plus
  • Experience with AWS, Kubernetes, Infrastructure-as-code, and data privacy & compliance is a big plus

Location: Seattle, WA

Duration: 6+ months
  • Type: Contract

Vacancy expired!


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