[Remote] Data Engineer - GTM & Analytics
Note: The job is a remote job and is open to candidates in USA. Sardine is the leading agentic risk platform for fighting financial crime. They are seeking a Data Engineer to lead the development of their internal data platform, integrating various data sources to enhance decision-making across the company.
Responsibilities
- 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
Skills
- 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
Benefits
- 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
Company Overview
Company H1B Sponsorship