Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$135к-180к/год
$170к$200кмедиана$230к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
86
Хорошая вакансия
развернуть
Вакансия предлагает чёткую ответственность за производственные модели данных и клиентскую отчётность в хорошо финансируемой AI-финтех-компании, но работа с клиентами и обязательное присутствие в офисе снижают гибкость.
Кликните для подробной информации
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Analytics Engineer (SQL/dbt/Airflow): Building production-grade data models, reporting pipelines, and analytical layers for an AI-native mortgage servicing platform with an accent on client reporting, data quality, and auditability. Focus on designing scalable transformations, implementing data contracts and observability frameworks, and solving complex operational analytics problems.
Location: New York, United States; On-site
Salary: $135K–$180K per year; equity offered
Company
hirify.global builds hirify.globalOS, an AI-native SaaS platform for mortgage servicing in regulated finance.
What you will do
Scope and develop new client reports and maintain and improve existing reporting pipelines.
Collaborate with external clients, client success, and the data team to manage reporting requests and improve reporting infrastructure.
Design, build, and maintain production-grade data models and analytical layers using BigQuery, dbt, and Airflow.
Partner with engineering and product teams to implement data contracts and observability frameworks for data quality and auditability.
Write complex SQL queries, build dashboards in Hex or Looker, and conduct ad hoc analysis for operational leaders.
Provide root-cause insights into business performance and support reporting and performance management.
Requirements
7+ years of combined experience in data engineering, analytics engineering, or a highly technical data analytics role.
Experience at a technology company or financial institution.
Expertise in SQL and strong proficiency in Python.
Proven experience with dbt and Airflow.
Experience implementing data quality frameworks, observability tools, or data contracts at scale.
Deep understanding of data architecture patterns such as medallion architecture.
Experience with data visualization tools such as Hex, Looker, or equivalent, plus proficiency in Google Sheets or Microsoft Excel.
Effective communication with external clients, including synthesizing requests, setting realistic timelines, managing expectations, and pushing back when necessary.
Strong product mindset focused on the usability, reliability, and developer experience of data systems.
Ability to solve complex problems independently and build repeatable processes around novel situations.
Bachelor’s degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field.
Nice to have
Series B–E startup experience.
Culture & Benefits
Competitive salary, equity, and a 401(k) plan.
Medical, dental, and vision benefits supporting physical and mental well-being.
Company-wide orientation, learning and development opportunities, and regular review cycles with 360-degree feedback.
17 paid time-off days, sick days, and 11 company holidays.
12 weeks of fully paid baby bonding leave for birthing and non-birthing parents.
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 →