4 дня назад
Senior Analytics Engineer (AI)
144 100 - 242 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (AI): Building trusted, governed analytical data products, reusable data models, standardized metrics, and semantic layer components for business intelligence, data science, and AI-powered interfaces with an accent on data quality, scalable transformations, and cross-functional metric design. Focus on optimizing lakehouse pipelines, implementing automated testing and monitoring, and solving complex data modeling and governance challenges.
Location: Remote within the United States; employees may live in any of the 50 states, with limited exceptions.
Base salary: $144,100–$230,300 or $151,700–$242,300 annually, depending on location.
Company
is a U.S. real estate platform that helps people buy, sell, finance, and rent homes.
What you will do
- Design, develop, and maintain trusted analytical data products, reusable data models, standardized metrics, and semantic layer components.
- Translate business requirements into data models and precise metric definitions for BI, self-service analytics, data science, and AI-powered interfaces.
- Partner with data engineering, data science, business intelligence, product management, and business stakeholders on requirements, data contracts, priorities, and dependencies.
- Improve data quality, governance, discoverability, metadata, documentation, and issue resolution through automated validation and monitoring.
- Build and operate reliable last-mile transformation pipelines using version control, code review, CI/CD, automated testing, monitoring, and alerting.
- Mentor teammates and contribute to analytics engineering standards, roadmap decisions, and modeling best practices.
Requirements
- Bachelor’s degree in data science, computer science, information systems, statistics, business, or a related field.
- 5+ years of experience in analytics engineering, data engineering, business intelligence, or a related field working with large datasets.
- Deep proficiency in SQL, dbt or an equivalent data transformation framework, and dimensional, denormalized, and entity-relationship modeling.
- Experience with Databricks or Snowflake, Git, semantic layers, metrics-as-code, metadata, data governance, and analytical data products.
- Experience applying software engineering practices including CI/CD, code review, automated testing, data quality checks, monitoring, and root-cause analysis.
- Ability to lead cross-functional work, communicate technical trade-offs, define shared metrics, document self-service data, and mentor teammates.
Nice to have
- Experience using AI-assisted coding tools and validating generated SQL, transformation logic, and documentation.
Culture & Benefits
- Remote work through ’s Cloud HQ distributed-work model.
- Competitive base salary and eligibility for equity awards based on experience, performance, and location.
- Collaborative and inclusive environment focused on analytical rigor, innovation, and impact.
- Equal employment opportunity and workplace accommodation support.
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