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22 часа назад

Senior Software Engineer, Data Engineering (Fintech)

164 000 - 227 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer, Data Engineering (Python/Spark/AWS): Building and scaling governed data pipelines, frameworks, schemas, and standardized data models for fintech decision-making with an accent on ETL optimization, data quality, security, and scalable architecture. Focus on designing systems for 10x data growth, enabling AI-based self-serve insights, and maintaining reliable pipelines through production operations and on-call support.

Location: San Francisco, CA, USA; in-office policy requires four days per week in the office and Fridays from home for employees near an office.

Salary: $164,000–$227,000 base salary per year, plus bonus, equity, and benefits.

Company

hirify.global is a financial technology company providing user-friendly financial tools and platforms that help members make financial progress.

What you will do

  • Build, scale, and optimize production ETL pipelines and workflows.
  • Design data schemas and prepare systems for 10x data growth.
  • Own data quality, governance, schema design, security, and pipeline availability.
  • Develop scalable data architecture and standardized data models for self-serve insights using AI.
  • Partner with Data Science, Analytics, and DevOps teams to deliver governed datasets and business insights.
  • Participate in an on-call rotation and respond to incidents outside regular working hours when necessary.

Requirements

  • 5+ years of experience transforming data into governed datasets.
  • 5+ years of hands-on experience building and deploying production-quality data pipelines.
  • 5+ years of experience working with stakeholders to provide business insights.
  • 5+ years of experience with SQL, Spark, AWS Glue, EMR, Airflow, and Python.
  • 3+ years of hands-on experience with an MPP database such as Snowflake, AWS Redshift, or Teradata.
  • Experience partnering successfully with Analytics, Data Science, and DevOps teams, plus understanding of data pipeline metrics.

Culture & Benefits

  • Full-time employees receive comprehensive health, financial, and wellbeing benefits.
  • Generous vacation policy and company-wide paid days off.
  • Backup child, elder, and pet care, plus subsidized commuter benefits for eligible employees.
  • Up to 22 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents.
  • Annual wellness stipend, family planning reimbursement, and equity eligibility.
  • Inclusive, collaborative, and entrepreneurial work environment focused on financial progress for members.

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