1 день назад
Senior Analytics Engineer
110 000 - 1 450 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (dbt/SQL): Building and maintaining scalable data models that transform raw data into trusted, documented datasets for company-wide decision-making with an accent on dimensional modeling, data quality, and consistent metric definitions. Focus on improving warehouse performance, troubleshooting data discrepancies, and designing reliable pipelines with data engineers, analysts, and business stakeholders.
Location: Hybrid, with two days per week in the San Francisco office every Tuesday and Wednesday; candidates must be legally authorized to work in the United States without employer sponsorship.
Base pay: $110,000–$1,450,000 per year, excluding bonus, benefits, and other compensation.
Company
is a marketplace platform connecting customers with Taskers for home services such as furniture assembly, handyman work, and moving assistance.
What you will do
- Design, build, and maintain scalable dbt models that transform raw data into tested and documented datasets.
- Own data model layers from source systems through marts, ensuring consistent business logic and metric definitions.
- Partner with data engineers, analysts, and business stakeholders to translate reporting needs into reliable data pipelines.
- Establish testing, documentation, code review, data quality, and freshness standards.
- Improve query performance and warehouse efficiency as data volume grows.
- Mentor junior analytics engineers and help define a single source of truth for core metrics such as GMV, completed tasks, and take rate.
Requirements
- 2+ years of experience in analytics engineering, data engineering, or a related role.
- Deep hands-on experience with dbt and SQL, plus strong knowledge of dimensional modeling and data warehouse design.
- Experience with Snowflake, BigQuery, or Redshift, as well as orchestration tools such as Airflow or dbt Cloud.
- Working knowledge of Python for data pipeline development and automation, and experience with Git.
- Ability to translate ambiguous business questions into structured data models and explain technical tradeoffs to technical and non-technical stakeholders.
- Experience mentoring engineers or leading technical projects.
Nice to have
- Familiarity with Looker, Mode, Tableau, or other BI and semantic-layer tools.
- Experience with marketplace or on-demand business models.
Culture & Benefits
- Collaborative, pragmatic, fast-paced, and inclusive work environment.
- Hybrid work model with regular in-person connection.
- US employees receive employer-paid health insurance and a 401k match with immediate vesting.
- Global employees receive flexible time off, two company-wide closure weeks, product, wellness, productivity, and education stipends, IKEA discounts, and reproductive health support.
- Benefits vary by country of employment.
Hiring process
- Initial application prescreening may use an AI-assisted tool for US-based candidates; applications are reviewed by the recruiting team.
- Candidates may opt out of AI-assisted prescreening and request manual review.
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