EnableComp · 1 day ago
Principal Engineer, Data Insights (REMOTE)
United States
Full-time
Remote
Senior Level, Lead/Staff
6+ years expEnableComp is a leader in the revenue cycle management sector, specializing in complex claims and revenue recovery. The Principal Engineer, Data Insights, will lead the development of a predictive intelligence platform, focusing on machine learning model development to optimize business insights and decision-making processes.
Health CareHospitalInformation Technology
Responsibilities
Real-time ML scoring infrastructure processing 10K+ claims daily with <2-second latency
Feature engineering pipelines transforming raw claims, payer contracts, fee schedules, and partner data into predictive signals
Multi-dimensional "super scoring" system combining contract variance, denial probability, and recovery likelihood across internal + partner datasets
Model deployment architecture supporting A/B testing, automated retraining, and agentic development workflows
MLflow model registry managing versioning, lineage, and deployment pipelines
Unity Catalog implementation governing model access and data lineage
Medallion architecture (Bronze/Silver/Gold) for analytics-ready data
Work Prioritization & Super Scoring: Multi-dimensional scoring combining partner intelligence (denial scoring) with internal production data and learnings
Portfolio Optimization: Cash flow forecasting, recovery probability modeling, capacity planning
Contract Intelligence: Variance detection, underpayment prediction (evaluate build vs partnership)
Additional Insights: Identify and develop predictive opportunities as platform matures
Design and personally build ML platform architecture on Databricks/Azure from the ground up
Develop production-ready predictive models from concept through deployment
Implement distributed computing optimization for processing millions of historical claims
Build automated model monitoring, retraining triggers, and performance dashboards
Leverage agentic development frameworks for rapid model iteration
Own end-to-end ML pipeline: feature engineering, model training, production deployment, monitoring
Achieve <2-second latency for real-time scoring at scale
Design APIs enabling consumption across operations, finance, and product teams
Integrate denial scoring intelligence into super-scoring framework
Own integration architecture whether building internally or partnering externally
Qualification
Required
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Must have 6-8+ years deploying production ML systems, preferably in financial services or healthcare domains
Deep hands-on expertise with Databricks, MLflow, Spark optimization, and distributed computing architectures
Modern ML frameworks: Python, scikit-learn, XGBoost, LightGBM, deep learning libraries
Statistical modeling: Time series forecasting, ensemble methods, feature engineering at scale, survival analysis, causal inference
Production deployment: Real-time scoring APIs, model monitoring, A/B testing frameworks
Data engineering at scale: Unity Catalog governance, Delta Lake ACID transactions, streaming ingestion, schema evolution management
Complex claims domain knowledge (VA, Workers' Comp, MVA, Out-of-State Medicaid)
Understanding of revenue cycle workflows and predictive opportunities
Healthcare data experience: claims processing, payer behavior, denial patterns, medical coding
Azure ML ecosystem and cloud infrastructure
Data governance and HIPAA compliance requirements
API design for cross-functional consumption
Medallion architecture implementation (Bronze/Silver/Gold layers)
Timely and regular attendance
Equivalent combination of education and experience will be considered
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions
Preferred
Exceptional technical leadership driving innovation in emerging technologies
Ability to translate abstract AI capabilities into concrete RCM solutions
Experience managing mixed onshore/offshore development teams
Track record of delivering complex platforms that scale across business units
Company
EnableComp
EnableComp is a provider of work comp reimbursement solutions.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Primus Capital Partners
2022-07-11Series Unknown
2017-08-07Series Unknown
Leadership Team
Christa Miller
Chief Financial Officer
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