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обновлено 13 дней назад

Staff Software Engineer (Data Engineering)

188 500 - 255 000$
Формат работы
onsite
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
Staff Software Engineer (Data Engineering/AI): Building data frameworks, ingestion pipelines, and analytics solutions for TurboTax using Spark, Flink, Google Cloud, and AWS with an accent on scalable data engineering, AI/ML applications, and end-to-end system design. Focus on leading complex data initiatives, solving cross-capability reliability and performance challenges, and mentoring engineers across scrum teams.

Location: San Diego, California or Mountain View, California

Base pay: $188,500–$255,000 in San Diego; $202,500–$274,000 in Mountain View, plus potential bonus, equity, and benefits.

Company

hirify.global is a financial technology platform developing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Build and support data frameworks, ingestion pipelines, data models, and software tools for customer experience insights.
  • Lead complex data engineering initiatives across the full software product lifecycle.
  • Design, implement, troubleshoot, and optimize scalable data solutions using cloud and big data technologies.
  • Drive technical work across scrum teams of 5–12 engineers and influence product and technology direction.
  • Partner with product managers, designers, and data scientists to test hypotheses and develop growth-focused solutions.
  • Mentor engineers, lead technical sessions, and promote inclusive engineering practices.

Requirements

  • 8+ years of software engineering experience with a strong background in data engineering.
  • Expertise in Java with Spring and Spring Boot, Scala for Spark, or other JVM-based languages.
  • 5+ years of professional experience with SQL, XML, JSON, YAML, Python, and Linux.
  • Experience building AI/ML and generative AI applications, including personalization, recommendation engines, or predictive modeling.
  • Expertise with Spark, Docker, Kubernetes, Databricks, SageMaker, feature management platforms, and notebook-based development.
  • Strong AWS, Azure, or GCP experience, data warehousing and analytics architecture knowledge, and experience handling large data volumes.

Nice to have

  • Experience using GenAI development tools such as Cursor or Windsurf.
  • Experience with AWS EC2, S3, EMR, DynamoDB, and Athena.
  • Knowledge of Agile, Scrum, or Extreme Programming methodologies.
  • BS or MS in Computer Science, Data Engineering, or a related field.

Culture & Benefits

  • Individual contributor role with no direct managerial responsibilities.
  • 70–85% hands-on development across the software lifecycle.
  • Opportunity to influence technology and product direction across multiple engineering teams.
  • Competitive compensation with potential cash bonus, equity rewards, and benefits.
  • Focus on operational excellence, security, reliability, performance efficiency, and cost optimization.

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