HubSpot Data Engineer

• Location: Remote (USA)
• Contract duration: 6 months
• Contract Type
  : W2 under Kelly
• Schedule
  :
  Remote M-F 9am - 5pm Time zone flexible
• Pay
  : $71.30/hour
• Visa Sponsorship
  :
  Not applicable

We're seeking a Senior Hub Spot Data Engineer to build and maintain the data foundation for B2B marketing. You'll design the Hub Spot data model that connects people, accounts, locations, and other records, and ensure data from the warehouse and other systems is synchronized accurately. You'll also partner with marketing and technical teams on a migration from Iterable to Hub Spot.

This is a remote, weekday role, generally scheduled from 9 a.m. to 5 p.m. with time-zone flexibility.

• Design and document Hub Spot data models, including custom objects, associations, and labels for many-to-many relationships.
• Align with Data Engineering and Analytics teams on source-of-truth tables, data definitions, and refresh schedules.
• Build and maintain warehouse-to-Hub Spot syncs using Hightouch or native integrations.
• Map source fields to Hub Spot properties and define keys, deduplication rules, and update logic.
• Monitor sync health, set up alerts for failures and volume or schema changes, and resolve issues promptly.
• Own data quality processes, including deduplication, standardization, validation, enrichment, and automated cleanup.
• Plan and execute the migration of Iterable user attributes, events, and subscription status into Hub Spot.
• Establish governance standards for access controls, consent fields, data retention, and PII handling.
• Keep documentation for the data model, field mappings, and operational runbooks current.

• 5+ years of experience in data engineering, analytics engineering, marketing operations, or revenue operations, including 2+ years working hands-on with Hub Spot data.
• Experience designing Hub Spot data models with custom objects and associations, and understanding of relevant platform limitations.
• Advanced SQL skills, including data profiling, transformation, and validation in a warehouse such as Snowflake.
• Hands-on experience with reverse ETL tools such as Hightouch or Census and ETL/ELT tools such as Fivetran, dbt, or Airflow.
• Working knowledge of REST APIs and webhooks, including Hub Spot CRM and Associations APIs.
• Experience leading a large data migration while preserving relationships between records.
• Strong documentation and communication skills, including the ability to explain data concepts to marketing teams.

• B2B go-to-market experience.
• Python or JavaScript scripting experience.
• Familiarity with Hub Spot Data Hub and data quality automation.
• Hub Spot certifications.
• Experience modeling account hierarchies, multi-location customers, or partner networks.
• Experience with Salesforce alongside Hub Spot.
• Familiarity with pipeline monitoring or testing tools.
• Knowledge of marketing-data privacy regulations such as CCPA, GDPR, and CAN-SPAM.