Data Engineer-II

Lancesoft; United States; Remote; USD 76,000 - 103,000; Part time

Job summary

Lancesoft is seeking a Data Engineer-II contractor to design and build the data foundation for B2B marketing in HubSpot. You will own the HubSpot data model, load data from warehouse, and maintain syncs to HubSpot while ensuring data quality and governance. The role is remote, 6 months, and pays $65 per hour (USD).

You will collaborate with the Campaign Architect on Iterable-to-HubSpot migrations and define properties, events, and associations to support marketing campaigns and targeting.

Qualifications

• 5+ years in data engineering or analytics engineering with marketing operations exposure.
• Designed HubSpot data models with custom objects and relationships.
• Advanced SQL for profiling, transforming, and validating data in Snowflake.

Responsibilities

• Own HubSpot data model design, including objects, custom objects, and many-to-many associations.
• Document design decisions and source-of-truth tables with refresh schedules.
• Build and maintain data syncs from warehouse into HubSpot using Hightouch or native integrations.
• Map source fields to HubSpot properties and define keys, deduplication rules, and update logic.
• Monitor sync health and set up alerts for failures and schema changes.
• Ensure end-to-end data quality, including deduplication and enrichment.
• Move Iterable attributes, events, and subscription status into HubSpot.

Skills

Data modeling

HubSpot data

SQL

Reverse ETL

ETL/ELT

Fivetran

dbt

Airflow

Hightouch

REST APIs

Documentation

Tools

Snowflake

Hightouch

Census

Fivetran

dbt

Airflow

HubSpot

Job description

Data Engineer-II

Job Duration:06 monthsEst. Pay Range:$65 (USD) hour.Location: Remote Working Shift:M-F 9am - 5pm Time zone flexibles

Job Description

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.


• 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 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.