Senior Data Platform Engineer

Healthcare’s helping hand.

CHG shook things up in 1979 by inventing the locum tenens staffing model. We connect doctors with patients who need their care. As the largest physician staffing firm in America, our providers treat millions of patients each year.

Our industry is growing and demand is high. This means you’ll have plenty of opportunities to grow and develop in your career. Keeping healthcare healthy can be as fun as it is rewarding

CareerMD 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

• 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.

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.

Qualifications

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

Education and years of experience

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

Preferred Skills

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

We believe in fair compensation for all of our people, which is why our pay structure takes into account the cost of labor across U.S. geographic markets. For this position, we offer a pay range of $130,500 -- $252,300 annually, with pay varying depending on work location and job-related factors such as knowledge, position level and experience. During the hiring process, your recruiter can provide more information about the specific salary range for the job location.

CHG Healthcare offers starting salaries for sales positions in the form of total target compensation (TTC = base + commission + bonus), which includes base pay, commission, and bonuses. Sales positions receive short-term incentives through commission plans and bonuses. On the other hand, non-sales positions have starting salaries that consist of a base salary and short-term incentives through various bonus plans, which are paid out monthly, quarterly, or annually.

In return we offer

• 401(k) retirement plan with company match

• Traditional healthcare benefits such as medical and dental coverage, and some 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

Click here to learn more about our company and culture.

CHG Healthcare values a diverse and inclusive workforce. Interested in this role but not a perfect fit? Apply anyway.

We welcome applicants of any race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status and individuals with disabilities as an Affirmative Action/Equal Opportunity Employer. We are an at-will employer.

What makes CHG Different?

Originally posted on Himalayas