Data Engineer

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.

• 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 Rev Tech 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.

• 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 Zoom Info, 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.

• Bache…