Staff Data Engineer (Fintech)

TL;DR

Staff Data Engineer (Big Data/Fintech): Architecting and building fault-tolerant, scalable big-data platforms to provide operational visibility across hirify.global's applications with an accent on data normalization, governance, and AI enablement. Focus on designing E2E analytical platforms, integrating Generative AI capabilities, and mentoring engineering teams to drive data-driven decision making.

Location: Mountain View, California or San Diego, California (Onsite)

Salary: $188,500 - $274,000

Company

hirify.global is a global financial technology platform powering prosperity for millions of customers through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Architect, design, and build fault-tolerant, scalable big-data platforms for high-velocity and high-volume data use cases.
• Develop scalable architectures for data normalization, lineage, governance, ontology, and discoverability.
• Collaborate with product teams to curate and administer datasets essential for Generative AI and Machine Learning analytics.
• Execute code reviews and establish processes for CI/CD, unit testing, performance testing, and incident response.
• Lead and mentor junior team members to enhance technical proficiency and collaborative problem resolution.

Requirements

• 8+ years of experience in product analytics, web analytics, or similar data analytics domains.
• Advanced proficiency in SQL and big data technologies such as Redshift, Spark, Hive, or BigQuery.
• Strong programming skills in Python, Java, or Scala.
• Proven experience architecting E2E big data pipelines and using workflow orchestration tools.
• Understanding of AI-native architectures and GenAI platforms.
• Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related quantitative field.

Culture & Benefits

• Competitive compensation package with a strong pay-for-performance rewards approach.
• Eligibility for cash bonuses and equity rewards.
• Comprehensive corporate benefits package.