Backend Engineer, Data, Web Scraping, Integrations

About Persona

Persona is a leading company that empowers top startups to hire global talent. Our vision is to create a future where everyone finds their ideal role and companies discover the world's best professionals. Founded by Stanford University graduates, Persona collaborates with fast-growing technology startups, many of which are backed by prominent investors such as Founders Fund, Sequoia Capital, and Andreessen Horowitz.

As a talent agency, Persona recruits, trains, and staffs talented remote professionals. This unique opportunity allows you to work closely with the future giants of the tech world, helping to build their organizations and drive their success. We provide comprehensive support, including training, mentoring, and technology resources, ensuring our hires thrive in their roles. Our dedicated international team focuses on supporting new Persona members, aiming to provide excellent long-term career opportunities for everyone.

Our global team comprises passionate problem solvers dedicated to innovation and customer satisfaction, united by a culture of continuous learning and improvement.

The Opportunity: Backend Engineer, Data, Web Scraping, Integrations

We are seeking a Backend Engineer, Data, Web Scraping, Integrations with a robust background in data engineering, web scraping, and systems integration. This role is crucial for powering our data-rich, AI-enabled platform. You should be adept at building resilient scraping pipelines, integrating with third-party APIs, and architecting scalable backends that support real-time analytics and large-scale data flows.

The ideal candidate will have 4–5+ years of backend experience, proficiency in Node.js and AWS, and a preference for environments that value precision, scalability, and speed. A builder's mindset, a passion for clean and efficient systems, and a holistic understanding of how backend architecture supports both product functionality and business objectives are essential. You will collaborate closely with cross-functional teams, including machine learning, product, and frontend engineering, to develop backend components for systems driving automation, fraud detection, and global commerce infrastructure.

Key Responsibilities

• Data Extraction & Web Scraping: Build systems to scrape external websites for structured and unstructured data. Automate data pipelines for ingestion, cleaning, and storage. Ensure scrapers are scalable, resilient to layout changes, and compliant with applicable policies.
• API Integrations & Ingestion Systems: Develop integrations with third-party APIs (KYC/KYB, fraud, merchant data) like coresignal, newsapi, and Google Reviews API. Manage authentication, retries, rate limits, and robust error handling. Build integrations with Railz by FIS for ERP and accounting systems such as Quickbooks, Xero, and Netsuite. Normalize and efficiently store data for downstream systems.
• LLM-Based System Development: Support the development of internal LLM engines for automation, fraud scoring, or data analysis. Build backend components that feed structured data to AI models. Collaborate with machine learning teams on data preparation.
• Backend & Infrastructure Development: Utilize Node.js and AWS to develop and deploy highly scalable and performant backend services handling large traffic volumes and complex data operations. Design efficient data models, manage relational and NoSQL databases, and optimize queries for data consistency, integrity, and performance across distributed systems. Architect and implement robust data pipelines to ingest, process, and store large datasets, enabling real-time analytics and seamless data flow. Work closely with frontend teams to integrate backend services with Next.js applications, ensuring seamless communication for a smooth full-stack experience.

Requirements

• 4–5+ years of backend engineering experience.
• Strong experience with Node.js, AWS, REST APIs, and backend architecture.
• Proven experience scraping websites and managing large-scale data ingestion.
• Proficiency in storing, normalizing, and querying large datasets.
• Experience connecting with financial services APIs and cleaning datasets.
• Fully fluent in English.
• Ability to commit long-term and full-time.
• This position is for serious, career-oriented candidates.

Preferred Qualifications

• Experience integrating with fintech, e-commerce, or payment platforms.
• Exposure to LLM integrations or AI model pipelines.
• Knowledge of Python for data-heavy tasks is a plus (not mandatory).

What Persona Offers

Persona offers industry-leading salaries, permanent work-from-anywhere flexibility, and significant opportunities for growth and advancement in a fast-paced, collaborative, and friendly company culture. This is a full-time, long-term role dedicated to one of our clients.

Benefits at Persona

• Health insurance
• Unlimited paid time off (sick and vacation leaves)
• Annual bonuses based on performance
• Monthly tech allowance
• Opportunity to be paid in your currency of choice
• Other benefits depending on seniority

We welcome individuals new to working with U.S. companies and provide guidance for setting up as a remote professional. Upon hiring, we carefully match you with a client company that aligns with your career background, skills, and goals.

Key skills/competency

• Backend Engineering
• Node.js
• AWS
• Web Scraping
• Data Engineering
• API Integration
• Scalable Systems
• Data Pipelines
• LLM Integration
• Database Management