Job Opportunities API

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.  About the Role As a Data Integration Engineer at Riskified, you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.  Riskified’s clients come from many different sizes and industries and use different technical platforms. Each has unique data concerns, and order flows must be assessed uniquely. Our team helps scope, implement, validate, and monitor these data integrations from both a technical and business perspective. What You'll Be Doing Maintain/manage merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc.) Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants Perform due diligence on merchant websites, business models, and data flows Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations. Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to Riskified APIs Ad hoc data wrangling and sanitization Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders Work closely with analysts, research, and data science teams to accommodate changes in industry data Identify, research, and offer system-wide solutions for common data issues Work closely with client-facing teams to engage customers regarding their data integrations Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of Riskified’s product, technology, and merchants Qualifications 4+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.) Solid expertise with SQL or NoSQL databases Experience with data wrangling (Python, R for data processing) Experience optimizing technical processes Strong analytical skills and attention to detail Strong verbal and written communication skills Advantage: experience  in designing, constructing, and maintaining efficient data pipelines using DBT or Python   The base salary range for this position is $125,000 - $139,000. This range is applicable to candidates who will perform the job either wholly, or in part, within New York City. Actual salary will be b