Data Engineer

The Sage Group

United States

On-site

USD 96,000 - 165,000

Full time

2 days ago
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Job summary

The Sage Group seeks a senior contractor to design and build the data foundation for our B2B marketing in HubSpot. You will own the data model that connects people, accounts, locations, and other records we market to, and you will load data from our warehouse and other sources into HubSpot while keeping syncs accurate.

You will work closely with the Campaign Architect to ensure the right properties, events, and associations are in place for Iterable-to-HubSpot migration.

Qualifications

  • 5+ years in data engineering or analytics roles with HubSpot data hands-on.
  • Designed HubSpot data models with custom objects and associations.
  • Advanced SQL for profiling, transforming, validating in Snowflake.
  • Experience with reverse ETL and ETL/ELT tools as listed.
  • Knowledge of REST APIs and HubSpot CRM + Associations APIs.
  • Led large data migrations preserving relationships between records.
  • Strong documentation habits and ability to explain data concepts to marketers.
  • Familiarity with privacy regulations for marketing data.

Responsibilities

  • Own HubSpot data model design including objects, custom objects, and associations.
  • Document design decisions, source-of-truth tables, and refresh schedules.
  • Build and maintain warehouse-to-HubSpot data syncs with Hightouch or native tools.
  • Map fields to HubSpot properties; define keys, dedup rules, and update logic.
  • Monitor sync health; set alerts for failures and schema changes.
  • Own end-to-end data quality: deduplication, standardization, enrichment, cleanup.
  • Plan migration of Iterable attributes, events, and subscription status to HubSpot.
  • Set governance standards: access control, consent fields, retention, PII handling.
  • Document model, mappings, and runbooks; keep them current.

Skills

5+ years data engineering
HubSpot data model design
Advanced SQL
Reverse ETL (Hightouch, Census)
ETL/ELT tools (Fivetran, dbt, Airflow)
REST APIs & webhooks
large data migration leadership
data quality & governance
documentation & runbooks

Tools

Hightouch
Census
Fivetran
dbt
Airflow
Snowflake
HubSpot APIs

Job description

The Sage Group’s client, a beloved tech delivery company, is seeking a Data Engineer.

We need a senior contractor to design and build the data foundation for our B2B marketing in HubSpot. 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 HubSpot and keep those syncs running and accurate. You will work closely with the Campaign Architect, whose Iterable-to-HubSpot migration depends on having the right properties, events, and associations in place.

Key Responsibilities
  • Own the design of the HubSpot 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 HubSpot using Hightouch or native integrations.
  • Map source fields to HubSpot properties, and define keys, deduplication rules, and update logic for each sync.
  • Monitor sync health, with alerts for failures, volume changes, and schema changes.
  • 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 HubSpot.
  • 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.
Required Skills
  • 5+ years in data engineering, analytics engineering, marketing operations, or revenue operations, including 2+ years working hands-on with HubSpot data.
  • Has designed a HubSpot 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 HubSpot 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.
  • HubSpot Data Hub and data quality automation
  • HubSpot certifications
  • Modeling account hierarchies, multi-location customers, or partner networks
  • Pipeline monitoring or testing tools
  • Privacy regulations for marketing data (CCPA, GDPR, CAN-SPAM)
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