Your work days are brighter here.At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.About the TeamThe Workday Sea Otter team develops Workday's nextgen products. We offer a development environment conducive to practicing world class software engineering. Our goal is to produce the most compelling and intelligent decision making products based on AI and ML technologies.About the RoleWork with Sea Otter team to build best in class Workforce Scheduling. Work with data to solve real business problems, and build out the infrastructure/automate the processes for our newest Forecasting product, and then expand your technical skills into new technologies such as Java, React, Typescript, Optimization, and ML! The Workday Workforce Management's Sea Otter team is a fully cross functional team of highly skilled individuals collaborating to design and develop innovative and intelligent solutions to the industries' most complex problems, improving the way the world's workforce works! We believe that powerful AI/ML combined with the best mobile experiences, immersive UIs, secure backend services and engineering excellence provide the most compelling solution to the market. This is a unique opportunity to build a product from the ground up with technical ownership of all stages. Ready for your next great adventure? We have an immediate opening for a Software Engineer. Responsibilities: Work closely with our machine learning engineering team to build algorithms and build out the infrastructureWork on ETL processes, data pipeline management, and data monitoringDevelop data models and pipelines for research, reporting, and machine learning, and deploy the models to productionStreamline our machine learning workflowsDeliver reliable/robust software through continuous integration, automated testing, and in-depth code reviewsWork closely with Product Management to help define new application framework features ensuring a high performing and ultra-usable user experienceCollaborate with peers on technical design, work estimation and implementation of new features including interfaces/contracts with storage system, data transformation, and handoff to front-end technologyBe a credible mentor to less experienced engineers and provide frequent code review feedbackKeep on top of task and bug management system for assigned issues each sprint as well as estimating and assessing priorityPrepare for sprint planning by understanding the details (effort, risk, priority) of remaining work committed for an updateGive ideas for continually improving the team's productivity, job enjoyment, and code qualityDesign and implement application architectures that provide rich features and real maintainabilityPerform system and performance analysis to improve system throughputMost meaningfully, have fun engineering software!About YouBasic QualificationsBachelor's degree in CS or CE (or equivalent) and 8+ years of experience in software development3+ years of experience with Python programmingOther QualificationsKnowledge of Python 3.7+ including all python, python ml-related library frameworks, building framework, unit testing, and related toolingExperience with some or all is a plus: Apache Airflow, Java, Scala, REST, JSON, XML, Spring, react, Javascript, TypeScriptKnowledge of data pipeline architecture and implementationKnowledge of AWS tools, such as sagemaker, K8s, dockers, s3, emr-job, redshiftKnowledge of SQL-based databasesAbility to master the data pipeline concepts, libraries, and tools, such as, numpy, pandas, polars, apache airflow, pydantic, etc.Understanding of CI/CD pipeline and Jenkins pipelineUnderstanding of the concept of machine learning modeling & time series forecastingFocused, methodical, minimalist approach to crafting and constructing layered software components that can be embedded within larger frameworks or applicationsStrong collaboration skills: accomplishing tasks will often require working across teams and coordinating work on your own teamAbility to deliver on time working in a fast-paced agile environmentHave the desire to learn and mentorWorkday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $165,600 USD - $248,400 USD Additional US Location(s) Base Pay Range: $140,600 USD - $248,400 USDOur Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
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