Data Engineer - Data & Analytics [Remote]

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

• 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 believe 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.

• Build and own Sardine’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, access controls, and security architecture in close partnership with the Security 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 merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.
• Partner with data science, engineering, revenue operations, and executive stakeholders to define and track KPIs, ensuring business decisions are grounded in data.
• Serve as the connective tissue between Revenue Operations, Business Operations, and Product/Eng, translating complex requirements into elegant data solutions.
• Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented.
• Build dashboards and analytics that provide 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 decisions.

• 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, Fivetran, Airflow).
• Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, BigQuery/Snowflake, Amplitude, Sigma, Clay, and similar tools.
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Experience building and maintaining scalable data visualization solutions (Sigma, 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.

• Exposure to product analytics tools like Segment, Amplitude, or Mixpanel.
• Experience in enterprise B2B SaaS or high-growth startup environments.

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly social 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 found the right place, and we would love to hear from you.