Data Engineer I - Salesforce Data Cloud & AI Enablement

Bertelsmann; Morrisville (AL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

401k match

PTO and parental leave

Hybrid work environment

Onsite Coffee Shop

Job summary

Relias in Morrisville, NC, seeks a Revenue Technology Data Engineer I to own the revenue data platform powering analytics and AI across the customer lifecycle. Design and operate ingestion pipelines from Salesforce and other RevTech systems into Data Cloud, build data models, and ensure governance.

You will partner with Revenue Technology, Salesforce architecture, and central data engineering to translate business needs into reliable data products, with a hybrid onsite/work-from-home model.

Qualifications

• Bachelor’s degree in computer science or related field.
• 2+ years in data engineering, with at least 1 to 2 years on Salesforce Data Cloud or comparable CDP and Salesforce data integration.
• Hands-on experience with Salesforce Data Cloud (Data 360): data streams, connectors, ingestion, transforms, data model objects, identity resolution, and calculated insights.
• Working knowledge of the Salesforce platform and revenue stack data structures (Salesforce CRM, Gong, Pardot/MCAE).
• Programming in SQL and Python.

Responsibilities

• Data Cloud Pipeline Development: Design, build, and maintain ingestion and transformation pipelines into Salesforce Data Cloud (Data 360) from Salesforce CRM, Gong, Pardot (MCAE), and other revenue systems using native connectors, APIs, and streaming patterns.
• Data Modeling and Identity Resolution: Build and maintain Data Cloud data models, mapping to the canonical data model, and configure identity resolution rulesets to unify customer and account data across sources.
• AI and Agentforce Enablement: Prepare, structure, and govern the data foundation that grounds Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data.
• Cross-Platform Integration and Enrichment: Integrate Data Cloud with the Relias Information Hub on Databricks, and integrate and maintain enrichment pipelines from providers such as ZoomInfo, Dun and Bradstreet, Definitive Healthcare, and Clay into Salesforce and Data Cloud, including match and dedupe logic, field survivorship, and monitoring of match rates and data freshness.
• Data Quality, Governance, and Troubleshooting: Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls, and identify, diagnose, and resolve data issues promptly.
• Documentation: Create and maintain documentation for pipelines, data models, mappings, and integration patterns.

Skills

SQL

Python

Salesforce Data Cloud

Data integration

Education

Bachelor’s Degree in computer science or related field

2+ years in data engineering

Tools

Salesforce Data Cloud

Job description

Relias in Morrisville, NC, seeks a Revenue Technology Data Engineer I to own the revenue data platform powering analytics and AI across the customer lifecycle. Design and operate ingestion pipelines from Salesforce and other RevTech systems into Data Cloud, build data models, and ensure governance.

You will partner with Revenue Technology, Salesforce architecture, and central data engineering to translate business needs into reliable data products, with a hybrid onsite/work-from-home model.