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Job title: Software Development Engineer- Data Platform
Company: Workday
Job description: 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.At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.About the Team Workday is the cloud-based SaaS company providing industry-leading software for HR, financials, workforce planning and employee learning to more than 40% of the Fortune 500. We are the Machine Learning Product team at Workday. Our focus is on the application of machine learning and statistical analysis to Workday’s products to serve our end users. We use diverse datasets to build data-driven products, which help the world’s largest organizations uncover insights and make strategic decisions about their people, finances, and business. We routinely work on data with high velocity, volume and variety, and we employ a modern machine learning distributed computing and big data software stack to deal with these challenges.This is an opportunity to be part of a growth team focused on Data Engineering and ML Development Tools. We build ML capabilities into our products, and you would be building part of the next generation of Workday technology. We believe predictive products can be as ground-breaking to the next generation of technology as mobile was to the last.As a Software Engineer III you will help develop ML powered features and experiences for every user across our HR & Talent product portfolio. You will work closely with ML engineers and other software teams to deliver critically important infrastructure, frameworks, tooling, and platforms that enable machine learning across Workday’s product ecosystem. You will apply modern ML Ops, Devops, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities; supervised and unsupervised, deep learning and classical. You will be responsible for the design & development of new APIs/microservices deployed at scale.You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our end-users experience WD. We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people.About the RoleWork with multi-functional teams to deliver scalable, secure and reliable solutionsEffectively engage with data scientists, software engineers, ML engineers, PMs and architects in requirements elaboration and drive technical solutionsDevelop software features from end to end including infrastructure as codeDesign and build developer tools and services that enable ML capabilitiesParticipate in architecture reviews, code reviews and technology evaluationHelp research, evaluate, prototype and drive adoption of new ML tools and services with reliability and scale in mindUnderstanding cloud computing and security to build robust cloud data platforms and solutions for ML teamsDesign and build software solutions for efficient organization, storage and retrieval of data to enable substantial scaleBuild and optimize data storage solutions (e.g., data lakes, data warehouses, NoSQL databases) to handle large volumes of structured and unstructured dataBuild systems and dashboards to monitor service & ML healthAbout YouBasic Qualifications(REQUIRED)5 or more years of validated software industry experienceProven experience in software development with proficiency in at least one programming language (e.g., Python, Go)Bachelor’s and/or master’s degree in computer science or computer engineeringOptimize public cloud-based infrastructure (AWS, GCP) to support the computational requirements of machine learning workloadsImplement and manage CI/CD workflows to automate testing, integration, and delivery of machine learning componentsProfessional experience in building web applications and microservices and API design.Develop and enhance data platform services and APIs to enable efficient data access and consumption by various teamsExperience with running and maintaining Databricks, Sagemaker, & Apache Spark as a Data Platform serviceExperience with big data technologies and frameworks (e.g., Spark, Flink, Hadoop, Kafka)Hands on experience with data warehousing concepts and ETL/ELT principlesOther Qualifications:Implementation and operation of distributed systemsTroubleshoot and resolve performance bottlenecks, system outages, and other operational issues in collaboration with the ML engineering teamsExperience with Data Engineering and/or ML systems with ability to think across layers of the stackExperience with tools cloud data platform and services like Databricks, Sagemaker, EMRContribute to the development and enforcement of data governance, security, and privacy policiesStrong problem-solving skills and ability to work in a fast-paced environmentExperience with MLOps platforms like Kubeflow and pipeline orchestrators like Airflow, Dagster and Kubeflow PipelinesFamiliarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)Knowledge of data governance, data cataloging, and metadata management tools.Experience with data security best practicesExperience with Online and Batch FeatureStore like FeastWorkday 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 in Canada, please . For more information regarding Workday’s comprehensive benefits in the US, please .Primary Location: CAN.ON.TorontoPrimary CAN Base Pay Range: $106,400 – $159,600 CADAdditional US Location(s) Base Pay Range: $122,400 USD – $217,200 USDOur Approach to Flexible WorkWith 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!
Expected salary: $106400 – 159600 per year
Location: Toronto, ON
Job date: Sun, 18 May 2025 01:11:24 GMT
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