2 часа назад
Staff Data Engineer
160 000 - 205 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (BigQuery/dbt/Airflow): Designing and delivering scalable data pipelines, models, and quality frameworks for analytics, reporting, product, and operational use cases with an accent on data architecture, reliability, and self-service analytics. Focus on leading technical design, optimizing cloud data transformations, mentoring engineers, and solving complex data platform incidents.
Location: Remote, Canada
Salary: $160,000–$205,000 CAD per year
Company
develops online gaming, sports betting, sports media, and entertainment technology as part of PENN Entertainment.
What you will do
- Design, build, and maintain scalable data pipelines for analytics, reporting, product, and operational use cases.
- Develop, test, and optimize dbt models, dimensional models, semantic models, and analytical data models.
- Manage data orchestration platforms, including Airflow, with exposure to Dagster.
- Drive data architecture decisions, engineering standards, data quality frameworks, observability, governance, metadata, lineage, and data ownership.
- Partner with stakeholders and platform teams to improve data reliability, scalability, and performance and provide actionable analysis.
- Lead technical design reviews, mentor engineers, support hiring and onboarding, and participate in incident response and root cause analysis.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or a related field.
- 8+ years of experience in data engineering, analytics engineering, or a related discipline.
- Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
- Experience with Google Cloud Platform services including BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
- Strong knowledge of data warehousing, ETL/ELT design patterns, dimensional modeling, cloud data transformation pipelines, automated testing, monitoring, and data observability.
- Proficiency with Git workflows, CI/CD pipelines, data visualization tools, stakeholder management, and leading complex cross-team projects.
Nice to have
- Exposure to Azure data platforms and services.
- Experience with Looker, Mode, Tableau, or similar data visualization and exploration platforms.
Culture & Benefits
- Competitive compensation package with benefits and bonus eligibility for most non-sales positions.
- Fun, relaxed work environment.
- Education and conference reimbursements.
- Career progression opportunities and mentoring.
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