обновлено 13 дней назад
Staff Software Engineer (Data Engineering)
188 500 - 255 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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