Senior Analytics Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Analytics Engineer (AI): Designing and maintaining scalable data infrastructure and transformation pipelines for a high-volume mobile platform with an accent on dimensional modeling, SQL performance, and dbt-based orchestration. Focus on building reliable data products, implementing semantic layers for self-service analytics, and leveraging LLMs to accelerate development and system maintenance.
Location: Must be based in the US or Canada
Salary: $148,000–$218,500 USD (US) or 171,500–201,000 CAD (Canada)
Company
is a category-leading mobile-based membership service for families, providing location sharing, safety features, and tracking devices to over 91 million monthly active users worldwide.
What you will do
- Design and implement robust dimensional and relational data models to support cross-functional analytical needs.
- Build and maintain scalable dbt transformation pipelines ensuring high data quality and performance.
- Partner with data engineering to manage Delta Lake tables and pipelines within the Databricks platform.
- Collaborate with data scientists and analysts to translate business requirements into durable data products.
- Implement data quality tests, SLAs, and monitoring to ensure the reliability of critical datasets.
- Develop tools and agents to enhance LLM-based code generation and system maintenance capabilities.
Requirements
- Must be based in the US or Canada
- 5+ years of experience in analytics engineering or data modeling with enterprise-scale data.
- Expert-level SQL skills with a focus on query optimization and performance tuning.
- Extensive experience with dbt, including testing, documentation, and package management.
- Strong programming skills in Python for automation and data manipulation.
- Demonstrated experience using AI/LLM coding assistants with a disciplined approach to code review and testing.
- Working knowledge of Databricks, Delta Lake, and Unity Catalog.
Nice to have
- Experience with advertising, ad tech, or media data.
- Familiarity with BI tools like Tableau, Looker, or Mode.
- Understanding of data governance and compliance standards (GDPR, CCPA, SOX).
Culture & Benefits
- Competitive salary, equity, and comprehensive medical, dental, and vision insurance.
- 401(k) matching (US) or RRSP with DPSP (Canada).
- Flexible PTO and 12 company-wide days off per year.
- Remote-first work environment with equipment and tool support.
- Learning and development programs and mental wellness support.
- Free Platinum Membership.
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