Software Engineer, Data Infrastructure

🕒 April 8

🏢🏡 San Francisco – Hybrid

💵 $130k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of Persona

Persona

WebsiteLinkedIn

51 - 200 employees

Founded 2018

📋 Compliance

💳 Fintech

🔐 Security

Compliance • Fintech • Security

Persona is a leading provider of identity verification solutions, excelling in KYC (Know Your Customer), AML (Anti-Money Laundering) compliance, fraud prevention, and operational efficiency. It offers a comprehensive platform that enables businesses to automate and manage identity operations, integrating a wide range of verification methods including government IDs, biometric checks, and document verifications. The platform is adaptable to industries such as fintech, digital health, e-learning, and more, allowing companies to tailor verification processes to their specific needs. Persona's solutions help streamline customer onboarding, enhance compliance, and mitigate fraud risks, ensuring secure and efficient identity verification for a global clientele. With a focus on privacy and security, Persona empowers businesses to securely control and manage Personally Identifiable Information (PII).

📋 Description

• Build and expand the data platform using cutting edge technologies for the cloud data stack. • Design and implement efficient data models to power analytics and core product workflows. • Collaborate with stakeholders to translate business and product needs into product features. • Identify new opportunities to use data in transformative ways across product, data science, and business teams.

🎯 Requirements

• 3+ years of experience in software engineering, with a focus on data infrastructure or large-scale data systems. • Proficiency in Python and familiarity with technologies like Kafka, Snowflake, ClickHouse, Airflow and Apache Flink. • Experience designing and implementing scalable ETL pipelines and working with structured and unstructured data. • Strong understanding of data modeling, including schema design and performance optimization for analytical and operational use cases. • Excellent communication and collaboration skills, with experience working cross-functionally with product, data science, and operational teams. • A passion for leveraging data to drive innovation.

🏖️ Benefits

• medical • dental • vision • 3% 401(k) contribution • unlimited PTO • quarterly mental health days • family planning benefits • professional development stipend • wellness benefits

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