Data Engineer (GTM & Analytics)

Join Sardine, a fast-growing startup in the fintech space, as a Data Engineer. In this high-impact role, you will lead the development of Sardine's internal data platform, integrating various data sources into a single, scalable system that drives decision-making across the company. You will own the core data foundation that enables faster, better-informed decisions for the executive team, revenue operations, finance, product, and customer-facing teams. Additionally, you will manage critical backend infrastructure, including billing data, warehouse security, and ETL pipelines. This is a remote-first position with a range of benefits, including unlimited paid time off, health insurance coverage, and generous equity compensation.

• Lead the development of Sardine’s internal data platform, integrating various data sources into a cohesive, scalable system.
• Own the core data foundation that enables executive teams and various departments to make informed decisions, including backend infrastructure and ETL pipelines.
• Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented, while also building dashboards and analytics for key insights.
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams
• 5+ years of experience in data engineering, analytics engineering ideally supporting GTM or business functions
• Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, BigQuery/Snowflake, Amplitude, Sigma, Clay, and similar tools
• A bias toward action and comfort working in ambiguity. You find answers rather than wait for direction
• Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow)
• 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
• Experience in enterprise B2B SaaS or high-growth startup environments
• Exposure to product analytics tools like Segment, Amplitude, or Mixpanel