Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production - ready data platforms and support analytics.
About the role
- Senior Software Engineer contributing to Workday's AI/MLOps cloud ops platform. Involves data ingestion, computation, and generation of curated data sets with modern technologies.
Responsibilities
- Contribute to a cloud ops platform that enables ingestion of data from internal and external producers
- Compute and aggregate meaningful, curated data sets
- Surface these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation and agentic workflows
- Utilize technologies like Kubernetes, Spark, Python, Java, XO, Terraform, Iceberg, EMR, and Sagemaker.
Requirements
- 6+ years of experience in Software Engineering, Distributed Systems or a related field
- 3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
- 3+ years in cloud 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, Kubernetes, Terraform AWS Cloud Infrastructure
- BSc or MSc in Computer Science/Computer Engineering or equivalent experience
- Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)
- Experience utilizing AI-Code Generation tools such as ClaudeCode, Windsurf, Cursor etc
- 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.
Benefits
- Flexible working hours
- Professional development opportunities
- Annual refresh stock grants
- Workday Bonus Plan
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer at Solana Foundation collaborating with blockchain engineers on data indexing and pipeline creation. Ensuring efficient data processing and metrics formulation for decentralized applications.
Senior Engineer on Data Platform team designing and building systems for data flow at Movable Ink. Collaborating with engineering, analytics, and infrastructure teams to power data ingestion and processing.
Senior Data Engineer responsible for designing and maintaining event streaming pipelines at Movable Ink. Working with modern technologies to enhance data availability and reliability.
Senior Data Engineer architecting and owning Snowflake layer for Knak’s Data Infrastructure and AI enablement. Collaborating across departments to ensure data accessibility and governance standards.
Data Engineer designing and implementing cloud - native data ecosystem for sports analytics. Building scalable infrastructure to transform raw data into valuable consent assets.
Data Engineer owning infrastructure that turns raw events from mobile users into trustworthy data. Building scalable data architecture and collaborating with cross - functional teams for data management.
LP
Senior DataOps / Cloud Data Engineer
LinkedIn Recruiter Post
Senior DataOps / Cloud Data Engineer contract in Toronto, ON. Requires Python, SQL, PySpark, Databricks, AWS Glue, Lambda, Step Functions, S3, Informatica IDMC, ADF, and ETL/Data Engineering.
Data Architect engaging with companies on transformational data programs to enhance AI and data capabilities. Leading architectural frameworks and mentoring data teams against industry best practices.
ML Data Engineer responsible for designing and developing AI platforms at Newfold Digital. Collaborating across teams to integrate and optimize data sources for AI - driven applications.