Sardine

1 month ago

Data Engineer - Data & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the development of Sardine’s internal data platform, connecting GTM, product analytics, and business data sources into a scalable system. Own core data foundation, billing data infrastructure, ETL pipelines, and governance to enable data-driven decisions across executive, revenue, finance, product, and customer-facing teams.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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.

Pay and Benefits

Salary: USD 150,000 - 205,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceRemote Work401kEquityMeal StipendLearning BudgetHome Office

Key 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).

Experience:5+ yearsData engineeringAnalytics

Skills:PythonSQLBigQueryDbtFivetranAirflowDockerKubernetesSigmaLookerTableauSalesforceHubSpot

Languages:English

Tech Stack:PythonSQLBigQueryDbtFivetranAirflowAWSGCPDockerKubernetesLookerTableauSigmaSalesforceHubSpot

Company Brief

Sardine

Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.

Industry: Cybersecurity

Website

Loading job details...

Preparing the role view and application actions.

Sardine

1 month ago

Data Engineer - Data & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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.

Pay and Benefits

Salary: USD 150,000 - 205,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceRemote Work401kEquityMeal StipendLearning BudgetHome Office

Key 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).

Experience:5+ yearsData engineeringAnalytics

Skills:PythonSQLBigQueryDbtFivetranAirflowDockerKubernetesSigmaLookerTableauSalesforceHubSpot

Languages:English

Tech Stack:PythonSQLBigQueryDbtFivetranAirflowAWSGCPDockerKubernetesLookerTableauSigmaSalesforceHubSpot

Company Brief

Sardine

Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.

Industry: Cybersecurity

Website