Edtech.com's Summary

Relias LLC is hiring a Data Engineer I to own and develop the revenue data platform that supports analytics and AI across the customer lifecycle. The role involves designing and maintaining data ingestion pipelines from various revenue systems into Salesforce Data Cloud, building data models with identity resolution, integrating enrichment sources, and ensuring data quality and governance.

Highlights

Design, build, and maintain ingestion and transformation pipelines into Salesforce Data Cloud from Salesforce CRM, Gong, Pardot, and other revenue systems.
Build and maintain data models and configure identity resolution to unify customer and account data.
Prepare governed data foundations for AI and agent platforms like Agentforce, including unstructured data sources.
Integrate Salesforce Data Cloud with Databricks-based Relias Information Hub and third-party enrichment providers such as ZoomInfo and Dun and Bradstreet.
Ensure data accuracy, consistency, security, and troubleshoot data issues.
Create and maintain documentation for data pipelines, models, and integration patterns.
Proficient in Salesforce Data Cloud (Data 360) data streams, connectors, ingestion, transforms, data modeling, and identity resolution.
Required skills include programming in SQL and Python, and working knowledge of Salesforce platform and revenue stack data structures.
Minimum qualifications: Bachelor’s degree in Computer Science or related field and at least 2 years in data engineering, with 1-2 years experience on Salesforce Data Cloud or comparable CDP.
Company offers health and wellness benefits including 401k match, PTO, parental leave, flexible work environment, and career development programs.

Data Engineer I Full Description

Data Engineer I

Are you looking for a high energy, strategic, and fast-paced position as a Data Engineer I? Join Relias, the company changing lives throughout the world by helping healthcare organizations improve their clinical and financial outcomes!

For 11,000+ health care and human service organizations, Relias helps clients deliver better clinical and financial outcomes by elevating the performance of teams. We help organizations across the continuum of care get better at maintaining compliance, developing staff and promoting consistent, high-quality care. Our platform employs assessments to reveal specific gaps in skills and addresses them with personalized and engaging learning, choosing from 7,000+ online courses that meet accrediting board, state and federal requirements. We are passionate about our products and our clients; what we deliver and the impact we have on the world is truly something you can be proud to represent. Join us and make a difference.

WHAT CAN RELIAS OFFER YOU?

Fantastic health and wellness benefits package, including an outstanding 401k match, a flexible PTO program, and a generous and inclusive parental leave policy. Additionally, Relias pays for the employee portion of the monthly healthcare premium!
Flexible work environment with onsite and work from home options – you choose when you want to come into the office!
Active Employee Resource Groups open to all employees!
Comprehensive onboarding program – a great introduction to our company, customers and culture!
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

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.

WHAT YOU’LL BE DOING:

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.

YOU’VE GOT WHAT IT TAKES IF YOU HAVE:

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.

Relias is an Equal Opportunity Employer and a Drug-Free workplace. Relias welcomes and encourages applications from people with disabilities and is happy to make reasonable accommodations in all aspects of the selection process. If you are an individual with a disability and require reasonable accommodation to complete any part of the job application process, please visit our career page for instructions.

IN OFFICE REQUIREMENT:
Relias values collaboration and wants to ensure that our team members have opportunities to work with their teams regularly for professional development opportunities. Our flexible hybrid work environment requires that you live in the state of North Carolina, within a commutable distance to our office (~1-hour commute). You would be expected to work in our Morrisville, NC Headquarters (close to the Raleigh/Durham airport) approximately 30/40 days/quarter.

Company: Relias LLC
Country: United States of America
State/Region: North Carolina
City: Morrisville
Postal Code: 27560
Job ID: 289680

Original Job Description

Data Engineer I

Fantastic health and wellness benefits package, including an outstanding 401k match, a flexible PTO program, and a generous and inclusive parental leave policy. Additionally, Relias pays for the employee portion of the monthly healthcare premium!
Flexible work environment with onsite and work from home options – you choose when you want to come into the office!
Active Employee Resource Groups open to all employees!
Comprehensive onboarding program – a great introduction to our company, customers and culture!
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

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.

YOU’VE GOT WHAT IT TAKES IF YOU HAVE:

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.

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