Data Integrations Engineer

Data Integrations Engineer 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. As a Data Integration Engineer, 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. Responsibilities Maintain and manage the merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc.). Combine technical, business, and analytical objectives to create tailored onboarding solutions for merchants. Perform due diligence on merchant websites, business models, and data flows. Generate tailored data templates (JSON, CSV) to 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, and 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 or 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. Engage customers regarding their data integrations and collaborate with client‑facing teams. Serve as a subject‑matter expert to R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales. 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 using Python or R. Experience optimizing technical processes. Strong analytical skills and attention to detail. Strong verbal and written communication skills. Advantage: experience designing, constructing, and maintaining efficient data pipelines using DBT or Python. Compensation and Benefits Base salary range: $125,000 – $139,000 for full‑time employees working wholly or in part in New York City. Actual salary will be based on qualifications, competencies, and location. Riskified offers a bonus target, stock‑based awards, and a comprehensive benefits package including medical, dental, vision insurance, 401(k) with matching, and commuter benefits. Hybrid remote/in‑office work for NYC team. Fully covered medical, dental, and vision insurance from day one. Equity for all employees, 401(k) + matching, commuter benefits. Catered lunch, stocked kitchen, team events, happy hours, birthday celebrations. Yoga, Pilates, soccer league, wellness classes. Opportunities to volunteer and make an impact in local communities. Professional development with global onboarding, sales bootcamp, skill‑based courses, access to Udemy, lunch & learns. Equal Employment Opportunity Statement Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law. #J-18808-Ljbffr