> Markdown version of [/jobs/ext/4638251-data-engineer-b2b-gtm](https://www.wearedevelopers.com/jobs/ext/4638251-data-engineer-b2b-gtm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, B2B & GTM - **Company:** Higgsfield Ai - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $200,000 - $260,000 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, BigQuery, Business Systems, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Python (Programming Language), Salesforce.Com, SQL Databases, Systems Integration, Workflow Management Systems, Usage Analysis, Snowflake, Stripe, Hubspot, Data Pipelines - **Published:** November 8, 2026 - **Apply:** https://startup.jobs/data-engineer-higgsfield-10718999 ## About the Role * 6-8+ years of experience in Data Engineering, Analytics Engineering, or a closely related technical role. * Strong proficiency in SQL and Python, with experience building production-grade ETL/ELT pipelines. * Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift. * Hands-on experience with data transformation and orchestration tools such as dbt, Airflow, Dagster, or similar technologies. * Experience integrating data from business systems such as Salesforce, HubSpot, Stripe, or other CRM and billing platforms. * Strong understanding of data modeling, data architecture, and data quality best practices. * Familiarity with B2B SaaS metrics, including ARR, pipeline, conversion, retention, churn, and expansion. * Ability to translate ambiguous business requirements into scalable technical solutions. * Strong communication skills and experience partnering directly with nontechnical stakeholders. ## Description We're looking for a Data Engineer, B2B & GTM to build and scale the data infrastructure powering Higgsfield's enterprise business and go-to-market operations. This role will own the development of reliable data pipelines, integrations, and data models that connect our product usage, customer, sales, and revenue data. You'll work closely with Sales, Revenue Operations, Finance, and Product to establish a trusted foundation for reporting, forecasting, customer intelligence, and strategic decision-making. This is a hands-on engineering role with significant ownership and the opportunity to build scalable data systems in a rapidly growing B2B business. What you'll do: * Design, develop, and maintain scalable data pipelines integrating CRM, billing, product analytics, and other business-critical systems. * Connect product usage, account activity, sales pipeline, contracts, and revenue data to create a consistent view of B2B customers. * Build reliable, well-documented data models supporting pipeline analytics, revenue reporting, customer segmentation, retention, and expansion. * Partner with Sales, RevOps, and Finance to support forecasting, territory planning, account prioritization, sales performance, and revenue attribution. * Establish visibility into how enterprise customers adopt and use Higgsfield's products, enabling insights into conversion, engagement, and expansion opportunities. * Implement automated validation, monitoring, documentation, and governance to ensure data accuracy and consistency across systems. * Identify opportunities to improve pipeline performance, automation, and infrastructure as the business grows.