As a Freelance Online Teacher at Busuu, you’ll play a key role in helping students learn language effectively and confidently.
Compensation
$14 paid per lesson taught
Responsibilities
Planning, preparing, and teaching online lessons (45 minutes each) for corporate clients
Deliver private lessons that include both language teaching and personalised coaching - conducting needs analyses, assessing levels, creating bespoke learning paths, checking progress during lesson time, and setting clear goals
Lead the design, configuration, implementation, and administration of the Workday HRIS ecosystem, integrating AI capabilities and ensuring data integrity.
Compensation
The base salary range for this position is 98,500 - 148,500 CDN. This role may also be eligible for bonus, commission, equity, and/or benefits.
Responsibilities
Implement and maintain Workday modules including Core HCM, Compensation, Onboarding, Benefits, Payroll, and Security
Collaborate with stakeholders to streamline processes and drive user adoption
Lead review, testing, and implementation of Workday feature releases, including AI-powered capabilities
Partner with stakeholders to configure, test, and deliver AI-enabled features and automation
Use AI tools for data analysis, documentation, testing, and reporting
Requirements
Nice to have: Experience delivering AI-powered features
Nice to have: Workday Pro Certification in any module
Software Engineer for Lyft Ads, focusing on backend and data engineering to build systems and pipelines for the world’s largest transportation media network.
Compensation
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits.
Responsibilities
Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting
Design and implement scalable data models to support analytics, targeting, and measurement use cases
Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data
Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows
Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds
Requirements
BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
Lead outbound product management for Synopsys Agentic AI solutions, shaping market story, driving customer discovery, and enabling forward-deployed engagements.
Locations (2)
United States
Canada
Compensation
Base Salary Range: $108000 - $162000
Responsibilities
Lead outbound product management for Agentic AI solutions
Shape market story and positioning across S&A product lines
Conduct customer discovery with Applications Engineering and customer teams
Define success criteria and deployment plans for forward-deployed engagements
Co-develop playbooks, demos, and reference architectures
Requirements
Bachelor’s degree in engineering, physics, computer science, or related field
The Enterprise Data Platform team is looking for a Principal Data Engineer to help revolutionize how we think about and deliver customer insights, playing an important role in the future success of the company.
Locations (2)
United States
Ontario, Canada
Compensation
$137,800—$172,250 USD
Responsibilities
Architecting large-scale data intelligence solutions, performing architectural assessments, crafting architectural options and analysis around Snowflake Data Warehouse and/or Google BigQuery
Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats, a medallion architecture (bronze → silver → gold), and Trino as the federated query engine
Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc
Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc.
Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills
Requirements
Bachelor or Master’s degree in Computer Science, Information Technology or Equivalent
Nice to have: semantic layers (Cube, dbt Semantic Layer)
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