Data Engineer-II

Job Duration:06 months

Est. Pay Range:$65 (USD) hour.

Location:

Remote Working Shift: M-F 9am - 5pm Time zone flexibles

We need a senior contractor to design and build the data foundation for our B2B marketing in Hub Spot. You will own the data model that connects the people, accounts, locations, and other records we market to. That model determines who our campaigns can target. You will also load data from our warehouse and other source systems into Hub Spot and keep those syncs running and accurate.

You will work closely with the Campaign Architect, whose Iterable-to-Hub Spot migration depends on having the right properties, events, and associations in place.

• Own the design of the Hub Spot data model, including objects, custom objects, associations, and association labels for many-to-many relationships.
• Make and document the design decisions.
• Agree on source-of-truth tables, definitions, and refresh schedules with data engineering and analytics.
• Build and maintain syncs from the warehouse into Hub Spot using Hightouch or native integrations.
• Map source fields to Hub Spot properties, and define keys, deduplication rules, and update logic for each sync.
• Monitor sync health, with alerts for failures, volume changes, and schema changes.
• Fix issues quickly.
• Own data quality end to end, covering deduplication, standardization, validation, enrichment, and automated cleanup.
• Plan and run the move of Iterable user attributes, events, and subscription status into Hub Spot.
• Set data governance standards, including access controls, consent fields, retention rules, and PII handling.
• Document the model, field mappings, and runbooks, and keep them current.

• 5+ years in data engineering, analytics engineering, marketing operations, or revenue operations, including 2+ years working hands-on with Hub Spot data.
• Has designed a Hub Spot data model with custom objects and associations and knows the platform limits that affect design.
• Advanced SQL, including profiling, transforming, and validating data in a warehouse such as Snowflake.
• Hands-on experience with reverse ETL (Hightouch, Census) and ETL/ELT tools (Fivetran, dbt, Airflow).
• Working knowledge of REST APIs and webhooks, including the Hub Spot CRM and Associations APIs.
• Has led a large data migration that preserved relationships between records.
• Clear documentation habits and the ability to explain data concepts to marketers.