Senior Data Engineer, Commercial Analytics (Remote)

Pleo; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Company card

Lunch/meal allowance

Private healthcare

25 days holiday + public holidays

Hybrid and remote options

Mental health support via MyndUp

Paid parental leave

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer for its Growth Intelligence team. You will design and maintain the integration architecture linking CRM, billing, and customer success tooling to a central BigQuery warehouse.

You will own data contracts, build robust pipelines, and collaborate with RevOps and BAT to scale our commercial data foundations for RevOps, Customer Success, and AI tools built on top of them.

Qualifications

• Proven experience building and maintaining production data pipelines in a commercial or GTM data environment.
• Strong understanding of CRM data models, APIs, and field management (HubSpot or comparable experience).
• Hands-on experience with reverse ETL patterns: pushing warehouse-enriched or warehouse-defined data back into operational tools.
• Extensive BigQuery experience.
• Experience implementing data contracts in a production environment.
• Python proficiency for pipeline development, transformation logic, and tooling.
• Git-based workflows and CI/CD experience for data engineering code.

Responsibilities

• Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and our BigQuery data warehouse.
• Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools like HubSpot, keeping definitions consistent across systems.
• Implement and maintain data contracts with clear ownership, SLAs, and schema agreements between data producers and data consumers.
• Partner with RevOps and the BAT team to understand operational data requirements and translate them into reliable, governed pipelines.
• Build monitoring and alerting that catches data quality issues before they surface in dashboards or downstream models.
• Simplify integration architecture by centralising data flows through the warehouse, reducing point-to-point tool integrations.
• Work with Analytics Engineers to ensure pipeline outputs are structured and documented for modelling.
• Engage upstream with tool owners and engineering teams to move data quality and schema discipline closer to the source.

Skills

BigQuery

Python

HubSpot

Zuora

Vitally

Data contracts

Reverse ETL

CI/CD

dbt

Git

Airflow

Tools

dbt

Fivetran

Census

Airflow

BigQuery

Job description

United States Digital Space LLC is seeking a Senior Data Engineer for its Growth Intelligence team. You will design and maintain the integration architecture linking CRM, billing, and customer success tooling to a central BigQuery warehouse.

You will own data contracts, build robust pipelines, and collaborate with RevOps and BAT to scale our commercial data foundations for RevOps, Customer Success, and AI tools built on top of them.