Title: Data Integrations Engineer Location: New York United States 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. 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 based on qualifications, competencies, and location. If you feel this range is not attractive, we encourage you to let us know through the application process. Base salary is just one part of the pay package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Some of our NYC Benefits & Perks: - Our NYC team is currently working in a hybrid of remote and in-office for all our team members - Fully-covered medical, dental, and vision insurance from your first day - Equity for all employees, 401(k) + matching, commuter benefits - Catered lunch, fully-stocked kitchen, team events, happy hours, birthday celebrations - Yoga, pilates, soccer league, wellness classes - Wide-ranging opportunities to volunteer and make an impact in local communities - Commitment to your professional development with global onboarding, sales bootcamp, skills-based courses, full access to Udemy, lunch & learns - Awesome Riskified gifts and swag!

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are seeking a seasoned Data Engineer to join our team. You will be responsible for architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms. This role requires a blend of high-level technical expertise in modern data stacks and the ability to collaborate independently with stakeholders to translate business needs into scalable data solutions. What You’ll Do: - Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring. - Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes. - Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies. - Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub. - Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines. - Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making. What You’ll Need: - 3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow. - Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data. - Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models. - Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterprise. - Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc. - Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. You will work with your Data Engineering teammates to review design, code, and test plans to increase knowledge and application of key frameworks and methodologies. - Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs. - Proven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insights. - Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience. Bonus Points: - Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processing. - Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support. #LI-Remote #LI-CS1 Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:06-29-2026

• Design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across healthcare technology platforms • Build and optimize AI and GEN AI technologies, integrating them into existing systems • Ensure effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards • LLM Fine-Tuning: Hands-on with multiple techniques • Agentic AI: Built solutions using LangChain, LangGraph, CrewAI • Data Processing: Preprocessing, feature engineering, model training on large healthcare datasets • System Integration: Skilled in API development, seamless integration with existing stacks • Performance Optimization: Continuous monitoring, refinement, ML Ops & LLM Ops best practices • Compliance & Security: Guardrails, ethical AI, HIPAA/CMS adherence • Automation: Workflow enhancement through AI-driven solutions • Frontend: Streamlit required; React/Angular/Vue.js preferred • Leadership: Team lead experience, cross-functional collaboration, translating business needs into deployable solutions

• Own the design, architecture, and implementation of complex data engineering initiatives • Identify and address difficult technical problems within the data platform • Serve as a technical mentor and senior resource for data engineers • Partner with product, analytics, and operations stakeholders on complex data initiatives • Stay current with developments in data engineering and conduct proof-of-concept work