14 часов назад
Staff Software Engineer (Data Engineering)
126 092 - 151 560CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Data Engineering): Designing and evolving an enterprise data platform with an accent on scalable data pipelines, cloud data warehouses, governance, and observability. Focus on defining technical architecture, leading streaming and orchestration strategies, adopting AI-driven development practices, and mentoring engineers across the organization.
Location: Vancouver, BC, Canada. Candidates near the Chicago, Fort Worth, Burnaby, or Mississauga headquarters may work in a hybrid arrangement. The role is open to applicants legally entitled to work in the country where the position is located.
Salary: CAD 126,092–151,560 per year
Company
, part of RB Global, operates an omnichannel marketplace for commercial assets and vehicles through auction sites and digital platforms serving customers worldwide.
What you will do
- Define the technical vision, architecture, and technology standards for the enterprise data platform.
- Design and scale resilient ETL/ELT pipelines using dbt, Python, SQL, Apache Airflow, AWS, Kafka, and Snowflake.
- Architect data models, Snowflake semantic views, governed semantic layers, and data consumption capabilities for Power BI, Tableau, and Looker.
- Drive CI/CD, Infrastructure as Code, observability, SLOs, alerting, and platform reliability practices.
- Establish data quality, governance, lineage, and trustworthiness standards, resolving complex end-to-end data issues.
- Mentor engineers, lead design reviews, collaborate with technical and business stakeholders, and contribute to hiring and organizational strategy.
Requirements
- 10+ years of data engineering or software engineering experience, including 3+ years at a senior or staff level.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Expertise in Python, SQL, cloud data warehouses, Snowflake, dbt, data modeling, and production-scale data platforms.
- Experience with Apache Airflow, Kafka, Snowpipe, AWS services including S3, MWAA, and Glue, Terraform, and CI/CD tools.
- Experience with Datadog or comparable observability platforms, data governance and cataloging tools, data quality frameworks, and secrets management.
- Demonstrated ability to mentor engineers, influence technical direction, lead architecture reviews, and collaborate in a hybrid environment.
Nice to have
- Experience with Java or Scala.
- Familiarity with Power BI, Tableau, Looker/LookML, Horizon Catalog, Select Star, or HashiCorp Vault.
- Experience leading technical RFCs and architecture decision records.
Culture & Benefits
- Collaborative and inclusive environment focused on continuous learning, innovation, and knowledge sharing.
- Health, dental, vision, and basic life insurance.
- 401(k) plan with a 100% company match on the first 4% contributed.
- 15 days of paid time off annually.
- Professional development opportunities and access to modern engineering technologies.
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