Data Engineer I
About The Position
The Revenue Technology Data Engineer I owns the revenue data platform that powers analytics and AI across the customer lifecycle. This role designs and operates ingestion pipelines from Salesforce and other RevTech systems (e.g., Gong, Pardot) into Salesforce Data Cloud (Data 360), builds and maintains identity resolution and data models within Data Cloud, integrate third-party enrichment sources, interoperate with the Relias Information Hub on Databricks, onboard new structured and unstructured sources, and prepare the trusted, governed data foundation that grounds our Agentforce agents. You will partner with Revenue Technology colleagues, the Salesforce architecture team, and central data engineering to translate business needs into reliable data products.
Requirements
- 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
- 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.
- 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.
- Prepare, structure, and govern the data foundation that grounds Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data.
- 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.
- Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls, and identify, diagnose, and resolve data issues promptly.
- Create and maintain documentation for pipelines, data models, mappings, and integration patterns.
Benefits
- Fantastic health and wellness benefits package
- outstanding 401k match
- flexible PTO program
- generous and inclusive parental leave policy
- Relias pays for the employee portion of the monthly healthcare premium
- Flexible work environment with onsite and work from home options
- Active Employee Resource Groups open to all employees
- Comprehensive onboarding program
- Growth and career advancement opportunities
- Promotes internal mobility and career growth aligned with evolving business needs
- Multiple development program options – leadership development, professional development curriculums, and Nanodegree options in both technology and data science
- Professional development gained from conference attendance and participation in organizations like NC Tech
- Onsite 321 Coffee Shop providing free coffee and pastries to employees
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
