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Senior Software Engineer (Data Engineering)Workday • Vancouver, British Columbia, Canada
Senior Software Engineer (Data Engineering)

Senior Software Engineer (Data Engineering)

Workday • Vancouver, British Columbia, Canada
Il y a plus de 30 jours
Salaire
140 000,00 $CA par an
Type de contrat
  • Temps plein
Description de poste

Your work days are brighter here.

Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too.

About the Team

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. Thats why we look after our people communities and the planet while still being profitable. Feel encouraged to shine however that manifests: you dont need to hide who you are. You can feel the energy and the passion its 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.

Were Platypus an AI/ML-centered data engineering team and our goal is to ingest manage derive and serve data across Workdays growing suite of AI/ML features. Right data right time!

About the Role

In this role you will contribute to the ingestion discoverability governance derivation and serving of data for Workdays Classic Machine Learning and agentic initiatives. Youll be working hands-on with technologies like Python Spark AWS Infra Kafka Terraform/Kubernetes and Iceberg.

About You

You are a highly motivated and skilled Software engineer with a passion for data engineering and machine learning. You strive to apply technology to drive real impact on Workdays business initiatives. You thrive in a collaborative environment working closely with your colleagues to deliver innovative solutions. You possess excellent communication skills actively listening to understand different perspectives and effectively conveying technical ideas. You are eager to contribute to a high-performing team and are driven to continuously learn and grow in the ever-evolving world of Distributed Systems Data Engineering and Machine Learning.

Basic Qualifications: (Required)

  • BSc or MSc in Computer Science/Computer Engineering or equivalent experience

  • 7 years of experience in Software Engineering Distributed Systems or a related field

  • 4 years proficiency in at least two of the following programming languages: Java Scala Python

  • 4 years in data engineering or related field(s)

  • Working knowledge of cloud-based infrastructure and managed services (AWS GCP)

  • Experience with at least one of these data engineering technologies: Apache Spark Apache Iceberg Apache Avro Apache Kafka Apache Flink

Other Qualifications:

  • Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins) virtualization (Docker) orchestration (Kubernetes Terraform)

  • Experience creating scalable service endpoints to retrieve data

  • Track record of working with logging monitoring metrics stats technologies such as: Grafana Prometheus Kibana Hive etc

  • Proficient collaborating with teammates to design maintain and improve sophisticated object-oriented software following clean code standard methodology

  • A testing/quality approach - unit system/integration and end-to-end testing TDD feature toggles and canary deployments

  • Exposure to operating system concepts covering memory and storage threading and concurrency networking and sockets and process management

  • An understanding and experience with topics related to performance and scale security availability deployment and operations

  • Experience being responsible for a service in production with experience of production triage and on-call.


Workday Pay Transparency Statement

The 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 candidates 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 Workdays comprehensive benefits please click here.

Primary Location:

Primary CAN Base Pay Range: $140000 - $210000 CAD

Additional CAN Location(s) Base Pay Range: $140000 - $210000 CAD



Our Approach to Flexible Work



With Flex Work were 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 youll 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.


At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email
.

Are you being referred to one of our roles If so ask your connection at Workday about our Employee Referral process!

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.


Required Experience:

Senior IC


Employment Type : Full-Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 140000 - 210000
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Senior Software Engineer (Data Engineering) • Vancouver, British Columbia, Canada

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