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5 часов назад

Data Analytics Engineer (Fintech)

180 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analytics Engineer (Fintech): Building and scaling data models, pipelines, and analytics infrastructure for financial services products with an accent on trusted datasets, SQL transformations, and business metrics. Focus on designing reliable analytics workflows, monitoring data quality, and developing dashboards that support Product, Finance, Risk, and Operations decision-making.

Location: San Francisco, CA; hybrid work

Salary: $180,000–$220,000 per year

Company

hirify.global builds integrated financial tools that help small businesses access funding, spend management, and savings products through platforms such as DoorDash, Amazon, Worldpay, and Mindbody.

What you will do

  • Build and maintain scalable data pipelines, analytics data models, and trusted datasets.
  • Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
  • Use AI tools to accelerate development and improve analytics workflows.
  • Develop dashboards, reports, and self-service analytics for business stakeholders.
  • Partner with Product, Engineering, Finance, Risk, and Operations to deliver data-driven solutions.
  • Monitor data quality, investigate discrepancies, and improve analytics infrastructure.

Requirements

  • 1–3 years of experience in analytics engineering, data analytics, business intelligence, data engineering, or a similar role.
  • Strong SQL skills and experience with relational databases and data warehouses.
  • Experience with Python or another scripting language.
  • Familiarity with dbt or willingness to learn modern analytics engineering tools.
  • Experience building dashboards with Looker, Tableau, Sigma, Mode, or similar BI tools.
  • Bachelor’s degree in a quantitative field or equivalent experience, with strong analytical, problem-solving, communication, and collaboration skills.

Nice to have

  • Knowledge of data modeling and analytics engineering best practices.
  • Experience with Databricks, Snowflake, BigQuery, Git, Airflow, Dagster, or similar tools.
  • Experience with financial services, lending, payments, or product analytics data.
  • Startup or fast-paced, high-growth company experience.

Culture & Benefits

  • Equity grant.
  • Medical, dental, and vision insurance.
  • Unlimited PTO and paid parental leave.
  • Work-from-home flexibility and commuter benefits.
  • Free lunches, 401(k), and employee assistance program.

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