Data Engineer

We’re seeking a hands-on Data Engineer to help strengthen data architecture, improve system integrations, and build the reporting foundation that supports critical operational metrics. This role is ideal for someone who thrives in an enterprise environment, enjoys solving complex data quality challenges, and has experience working with AI-assisted development tools in an agent-led delivery model. Responsibilities

• Design and improve the data architecture connecting CRM, onboarding, MDM, ERP, and third-party data sources.
• Investigate and resolve data integrity issues, including mapping mismatches, sync gaps, and data carryover defects.
• Develop validation and enrichment pipelines with a strong preference for API-based integrations where possible.
• Support data models and pipelines that enable document data extraction and validation feedback loops.
• Build reporting and analytics layers that help track cycle time, SLA performance, bottlenecks, queue impact, completeness, and forecast accuracy.
• Partner with architecture, compliance, and security stakeholders to support safe handling of sensitive data.
• Use AI coding agents to accelerate development, troubleshooting, testing, and rapid prototyping of integration fixes.
• Help establish technical standards for pipeline development, monitoring, and quality across the team.
• Communicate findings and progress to program leadership and stakeholder groups in a clear, collaborative way.

• Extensive experience in data engineering or data architecture within complex enterprise environments.
• Proven background leading data engineering teams and supporting multiple delivery priorities.
• Strong experience integrating data across CRM, ERP, and master data management platforms.
• Deep knowledge of data quality remediation, validation logic, and integration troubleshooting.
• Experience building analytics and reporting pipelines for operational and business metrics.
• Hands-on experience using or directing AI coding agents such as Claude Code or similar tools.
• Ability to work collaboratively with technical and non-technical partners.
• Comfort working with sensitive or regulated data in partnership with compliance teams.

Preferred Skills

• Experience with enterprise integration or middleware platforms.
• Background in healthcare, pharmaceutical distribution, or GPO/rebate-related data models.
• Familiarity with AI- or LLM-based document extraction workflows.
• Relevant certifications in data architecture, data management, or related platforms.
• Experience supporting transformation programs with multiple stakeholders and complex system dependencies.

Horizontal is committed to fostering an inclusive workplace where diverse perspectives are valued, respected, and encouraged. We believe equity and inclusion strengthen teams, improve outcomes, and help create a better experience for everyone involved.