Remote Sr Data Engineer Job in United States Yahoo

Who you are

• BS with 7+ years of relevant Industry experience/M.S. in Computer Science with 5+ years of relevant Industry experience
• Computer Science graduate ideally with specialization in Data Engineering or Machine Learning
• Strong fundamentals: algorithms, distributed computing, data structure, database
• Fluency with at least one of: Go/Java/Python/C++/Scala/SQL
• 5+ years of industry experience on very large scale analytics or ML systems development
• 2+ years of experience with Google Cloud Platform (BiqQuery, Dataproc, Composer, Dataflow, BigTable, etc.)
• 2+ years of experience in Hadoop technologies (Map/Reduce, Pig, Hive, HBase, Spark, Kafka, Oozie, etc.)
• Experience in data modeling, schema design, ETL, and data analysis
• Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectations

Desirables

• Experience with machine learning algorithms, NLP, and/or statistical methods a big plus
• Experience in any of: machine learning, analytics, data mining, or data mart and warehouse
• Experience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib)

What the job involves

• Improve our existing data infrastructures for machine learning and deep learning using your core expertise
• Work with other engineers to implement algorithms and systems in an efficient way
• Take end to end ownership of Machine Learning-based distributed data systems - from data pipelines and training to real time prediction engines
• Develop complex queries very large volume data pipelines and analytics applications
• Develop complex queries and software programs to solve analytics and data mining problems
• Interact with data analysts data scientists product managers and software engineers to understand business problems technical requirements to deliver data solutions
• Prototype new metrics or data systems
• Lead data investigations to troubleshoot data issues that arise along the data pipelines
• Maintenance and improvement of released systems
• Engineering consulting on large and complex warehouse data

Application process

• Update Professional Profile on Workday Home page
• Apply on internal career site
• Discuss flexibility with recruiter