Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Нижеразвернуть
$145к-155к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.6к/мес ($3.1к - $4.3к)
76
Хорошая вакансия
развернуть
Обязанности чётко описаны: роль охватывает весь цикл работы с моделями данных и включает конкретные цели, поэтому уровень ответственности можно оценить заранее.
Ниже рынка
Современный стек
Зона ответственности ясна
Поддержка развития
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Analytics Engineer (dbt/Snowflake): Building dimensional data models and analytics foundations for Finance, Operations, Product Management, Sales, and other business functions with an accent on advanced SQL, data quality, and Snowflake performance. Focus on translating executive business questions into reliable data solutions, owning the full model lifecycle, and establishing maintainable modeling and testing standards.
Location: US-REMOTE; remote
Salary: $145K–$155K
Company
hirify.global creates products that support learning, personal development, education, and career growth.
What you will do
Design, build, and maintain dimensional models in dbt and Snowflake for Finance, Operations, Product Management, Sales, and other functions.
Translate business questions from senior leaders into clear data requirements and reliable data solutions.
Own the model lifecycle, including ingestion patterns, staging, intermediate and mart layers, testing, documentation, and deployment.
Define and enforce standards for naming, grain, slowly changing dimensions, testing, and project structure.
Optimize Snowflake performance and cost through materialization, clustering, and warehouse sizing.
Partner with data engineers and business systems teams, review pull requests, mentor analysts and engineers, and explain data definitions to non-technical audiences.
Requirements
5+ years of experience in analytics engineering, data engineering, or a similar role.
Deep hands-on dbt experience, including macros, packages, incremental models, snapshots, and testing.
Strong Snowflake skills with advanced SQL and an understanding of performance and cost optimization.
Experience designing dimensional models, including star schemas, facts, dimensions, and conformed dimensions.
Strong data architecture skills covering layered modeling, grain, lineage, data contracts, and maintainable project structures.
Working knowledge of finance, sales, operations, and product functions, ideally in a SaaS company.
Ability to discuss business issues with directors, VPs, and executives and turn those discussions into data solutions.
Strong written and verbal communication, documentation skills, and experience with Git-based workflows and CI/CD for data projects.
Nice to have
Bachelor’s degree in Computer Science, Information Systems, Finance, or another quantitative field.
Experience modeling CRM and business-system data, such as Salesforce.
Familiarity with Airflow, dbt Cloud, or similar orchestration tools.
Experience with Tableau, Looker, Power BI, or another BI tool.
Background in a SaaS or education technology company.
Culture & Benefits
Full-time employment with competitive compensation and participation in an ownership program.
Remote, hybrid, and in-office collaboration arrangements vary by role, team, and location.
Generous time off, local holidays, and an annual late-December “Dim the Lights” period based on departmental needs.
Wellness and mental health support, professional development resources, and tuition reimbursement.
Inclusive culture, employee recognition through Motivosity, and technology provided for the role.
Hiring process
All employees must pass a background check and may need to complete identity verification.
Candidates may be asked to verify their legal name, current physical location, valid contact number, and residential address in accordance with local privacy laws.
Misrepresentation of personal or professional information results in disqualification.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →