Hightouch Engineer

Columbia, SC, US • Posted 9 hours ago • Updated 7 hours ago

Contract Independent

Contract W2

On-site

$60 - $70/hr

Fitment

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Job Details

Skills

Hightouch
Marketing
SQL
Banking

Summary

Job Title: -Hightouch Engineer / Marketing Data Engineer

Location: -Columbia, SC (Hybrid Onsite)

Duration: -Contract

Role Summary

Responsible for building and maintaining Hightouch data models, traits, and syncs to enable personalized, product level customer email campaigns. The role focuses on translating SQL logic into Hightouch, aggregating multi-account customer data, and syncing clean, compliant data to Salesforce Marketing Cloud.

Key Responsibilities

Configure Hightouch audiences on the Customer entity using eligibility, relationship, and accountlevel conditions (active status, role type, age, email availability).
Develop SQLbased aggregated traits that consolidate multiple financial accounts into a single customer record (one row per customer).
Implement consistent financial account filtering logic (DDA, LAS, SAV; valid class codes; active status) across audiences and traits.
Build structured aggregated fields containing product type, class code, product description, and last 4 digits of account number.
Configure Hightouch Salesforce Marketing Cloud syncs using Upsert with Customer ID as the primary key.
Map customer and account traits to Marketing Cloud Data Extensions to support personalized fee and estatement messaging.
Validate data accuracy, aggregation logic, and sync reliability; troubleshoot failures and data mismatches.

Tools & Technologies

Hightouch (Audiences, Traits, Reverse ETL, Syncs)
SQL (CTEs, aggregation, string concatenation, conditional logic)
Cloud Data Warehouse (e.g., Snowflake, BigQuery, Redshift source for Hightouch models)
Salesforce Marketing Cloud (Data Extensions, Email Personalization)
Salesforce CRM IDs (Customer / Contact identifiers)

Required Skills

Strong SQL and data modeling experience (customercentric, onetomany relationships).
Handson experience with Hightouch or similar reverse ETL tools.
Experience integrating warehouse data with marketing platforms.
Understanding of data privacy practices (account masking, last4digit handling).

Preferred Experience

Financial services or banking data models (customers, accounts, roles).
Marketing activation use cases involving multiproduct personalization.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10114281
Position Id: 8906709
Posted 9 hours ago

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