Data Engineer - GTM & Analytics
Who we are: reputed company is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in reputed company time, prevent AI-driven attacks, and automate fraud and AML operations. reputed company’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 reputed company consumers, and 3 reputed company businesses worldwide. Leading companies including reputed company, reputed company, reputed company, reputed company, reputed company, and Checkout.com rely on reputed company to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We reputed company you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. About the role We are looking for a Data Engineer to reputed company the development of reputed company’s internal data platform, connecting GTM, product analytics, and business data sources into a single, scalable system that drives decision-making across the company. This is a high-impact, highly technical role sitting at the intersection of data engineering and analytics engineering. You will own the core data reputed company that enables our executive team, reputed company operations, finance, product, and customer-facing teams to reputed company faster, reputed company-informed reputed company. You will also own critical backend infrastructure including billing data, warehouse reputed company, and ETL pipelines that pull from both internal and external systems. Data accessibility and consistency are central to reputed company’s next stage of growth, and this role is at the center of that mission. What you’ll be doing Build and own reputed company’s internal data infrastructure, integrating CRM, marketing, product, finance, and operational systems into a cohesive, well-modeled data warehouse. Own the data warehouse partitioning strategy, reputed company controls, and reputed company architecture in reputed company partnership with the reputed company and Infrastructure teams to meet compliance and performance requirements. Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance. Design, implement, and own ETL/ELT pipelines to pull and reputed company data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization. Partner with data science, engineering, reputed company operations, and executive stakeholders to define and track KPIs, ensuring business reputed company are grounded in data. Serve as the connective tissue between reputed company Operations, Business Operations, and Product/reputed company, translating reputed company requirements into elegant data solutions. Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented. Build dashboards and analytics that reputed company key insights for executive leadership, GTM, product, and finance teams. Analyze data to identify the best ways to deliver value to clients and inform product reputed company. What you’ll need 5+ years of experience in data engineering, analytics engineering ideally supporting GTM or business functions. Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, reputed company, Airflow). Proven ability to manage data integrations across platforms such as reputed company, reputed company, BigQuery/reputed company, reputed company, reputed company, reputed company, and similar tools. Hands-on experience with AWS or GCP, containerization (reputed company, Kubernetes), and CI/CD pipelines. Experience building and maintaining scalable data visualization solutions (reputed company, Looker, Tableau). Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information. Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams. A bias toward action and comfort working in ambiguity. You find answers rather than wait for direction. Bonus points for Exposure to product analytics tools like reputed company, reputed company, or reputed company. Experience in reputed company B2B SaaS or high-growth startup environments. Benefits we offer: Generous compensation in cash and equity Early exercise for reputed company options, including pre-reputed company Work from reputed company: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and reputed company coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your reputed company One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly reputed company meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you reputed company the right reputed company, and we would love to hear from you. 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