Senior Data Engineer, GTM Data Platform (Equity)

United States Digital Space LLC; San Francisco, New York (CA, NY); Hybrid; USD 170,000 - 260,000; Full time

Benefits offered by this job

Equity

Healthcare

Mentorship & events

Flexible time off

WFH equipment budget

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer to own GTM data pipelines and transform CRM, marketing, and product usage data into reliable reporting and forecasting infrastructure. You’ll work with Sales, Marketing and RevOps stakeholders to ensure metrics are accurate and actionable.

Reporting to the Data team's engineering lead, you will set technical direction, raise engineering standards, and mentor junior engineers while shaping how the business understands its pipeline

Qualifications

• 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end.
• Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis
• Hands-on experience with dbt (or a comparable transformation framework), dimensional/data modeling, and modern ELT/ETL workflows, including orchestration tooling (e.g., Airflow, Dagster)
• Direct experience with GTM data, e.g. CRM data models, pipeline and revenue reporting, sales/marketing attribution, and fluent understanding of how those metrics are defined and used
• Proven ability to partner with non-technical stakeholders (Sales, Marketing, RevOps leadership), translating ambiguous business questions into technical specs and durable data models
• Strong communication skills, including experience presenting technical trade-offs to both technical and business audiences and driving alignment across teams
• A track record of technical ownership, with the judgment to make architecture and modeling decisions independently, and interest in raising the bar for a team's data practices, including mentoring more junior engineers

Responsibilities

• Own pipelines that bring GTM source systems, including CRM, marketing automation, outbound tooling, and product usage, into the warehouse reliably.
• Diagnose and resolve data quality and freshness issues at the source, not just downstream.
• Design and maintain dbt models that turn raw GTM data into clean, trusted datasets, including pipeline, revenue, attribution, and funnel metrics.
• Set testing and documentation standards so models are trustworthy and easy for others to extend.
• Build datasets and semantic models that power the dashboards and reports Sales, Marketing, and RevOps leadership run on.
• Reduce reliance on one-off requests by designing for self-service.
• Work with Sales, Marketing, and RevOps leaders to understand what they need from the data and why, and push back when the ask doesn't match the underlying question.
• Bring enough context on how the business runs its GTM motion that you can spot bad metrics before they ship.
• Build pipeline and transformation code to a high engineering bar, and hold others to it through code review.
• Form and advocate for a point of view on GTM data modeling and pipeline design.
• Mentor other engineers and help set technical standards for the team.

Skills

SQL

Python

dbt

ELT/ETL

Airflow

GTM data knowledge

Tools

Airflow

Dagster

Job description

United States Digital Space LLC is seeking a Senior Data Engineer to own GTM data pipelines and transform CRM, marketing, and product usage data into reliable reporting and forecasting infrastructure. You’ll work with Sales, Marketing and RevOps stakeholders to ensure metrics are accurate and actionable.

Reporting to the Data team's engineering lead, you will set technical direction, raise engineering standards, and mentor junior engineers while shaping how the business understands its pipeline