Senior Data Platform Engineer

CHG Healthcare • Midvale, UT

22h • Hybrid

About The Position

CHG is evolving the foundation of its platform to support faster product development and more intelligent, data-driven experiences for physicians and employers. We operate a platform that facilitates recruitment and practice-finding between physicians and organizations that employ them. Today, this platform relies on a shared data store. While it has supported the business well, we are now investing in a more flexible, scalable approach that enables cleaner system boundaries, improved data quality, and stronger product capabilities across the platform. We are beginning by rebuilding an existing application, including a newly refactored application-specific DB, as the first step in a broader, domain-oriented data architecture. This work is not limited to a single application. It will establish the patterns, models, and data flows that will be extended across multiple systems over time. This foundation will support: clean system boundaries, reliable data flows, canonical identity and profiles, behavioral data and feedback loops, and AI-enabled product capabilities. Over time, this data layer will allow us to turn fragmented data into intelligence, and to build a compounding advantage in how we match physicians and employers. We are looking for a Founding Senior Data Platform Engineer to own and build this layer. This is not a traditional data role. You will define how data works across the company. This role will report to the VP of Product and Engineering.

Requirements

• Strong experience designing and building data systems in production
• Experience with distributed or service-oriented architectures
• Deep understanding of: data modeling, data pipelines (batch and/or streaming) and, system boundaries and contracts.
• Designing event-driven or behavioral data systems
• Building identity resolution / deduplication systems
• You are not just an architect; you build and ship
• Comfortable working in ambiguity and defining structure
• Favor pragmatic iteration over over-engineering
• Can operate as a solo owner of a domain
• 5–10+ years of experience in software or data engineering, much of that designing and building production data systems, ideally as an end-to-end owner
• CS or equivalent degree or experience

Nice To Haves

• Experience working in small, high-leverage teams
• Familiarity with modern data stacks (e.g., GCP, BigQuery, dbt, event pipelines)
• Experience enabling or integrating AI/LLM workflows
• Experience refactoring legacy or monolithic systems

Responsibilities

• Decompose a monolithic MySQL system into domain-oriented data stores.
• Define data ownership and source-of-truth boundaries.
• Establish data contracts between systems.
• Partner with engineering to implement pragmatic, incremental migration paths.
• Design and implement pipelines for employer, job, and physician data.
• Define and maintain canonical entities and schemas.
• Solve identity resolution and deduplication across fragmented sources.
• Design event tracking and behavioral data models.
• Enable cross-system visibility into user behavior.
• Support use cases such as matching and recommendations, funnel optimization, and employer–physician engagement.
• Structure data for AI, ML, and LLM-based workflows.
• Build pipelines that support enrichment, ranking and matching, and feedback loops.
• Help define how AI integrates into product experiences.
• Work directly with our engineering team and Product Manager.
• Use AI tools to accelerate development and decision-making.
• Translate ambiguous product needs into clear system design.

Benefits

• 401(k) retirement plan with company match
• Traditional healthcare benefits such as medical and dental coverage
• Unique benefits like onsite health centers, corporate wellness programs, and free behavioral health appointments.
• Flexible work schedules - including work-from-home options available
• Recognition programs with rewards including trips, cash, and paid time off
• Family-friendly benefits including paid parental leave, fertility coverage, adoption assistance, and marriage counseling
• Tailored training resources including free LinkedIn learning courses
• Volunteer time off and employee-driven matching grants
• Tuition reimbursement programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree