# Data Engineer - Data & Analytics

**Company:** [Sardine](https://hotfix.jobs/companies/sardine)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $150k – $205k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, BigQuery, dbt, Fivetran, Airflow, Salesforce, HubSpot, Snowflake, Amplitude, Sigma, AWS, GCP, Docker, Kubernetes
**Posted:** 2026-06-16

> Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.

## Job Description

## 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.

## Requirements
- 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.

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

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