Lead Data Engineer

Momento USA is a global technology consulting, talent acquisition and creative development firm that addresses clients most pressing needs and challenges.

We currently looking for Lead Data Engineer for a client based out in St Louise, MO. Please see the job description below for your reference.

Role: Lead Data Engineer - St Louise, MO

Location: St Louise, MO 1st preferred or Brillio 3 locations, Coppell, TX or NY or CA

Key (Mandatory) Skills: Lead experience, Python, Oracle, Kafka, and Windsurf along with Payment Integrity platforms.

Experience Level: 8+ Years

Role Overview

We are seeking a highly skilled Lead Engineer to lead the architecture, design, and development of the PISCES HUB platform, a configuration-driven, event-based data and rule-processing ecosystem supporting healthcare payer workflows.

This role requires strong expertise in building metadata-driven systems, rule engines, and configurable integration frameworks within a cloud-native architecture. The ideal candidate will also possess solid knowledge of healthcare systems, particularly Payment Integrity and claims processing workflows, and be capable of designing systems that support fraud detection, pre-pay/post-pay validation, and rule-based adjudication enhancements.

Key Responsibilities

Technical Leadership

• Lead end-to-end engineering for the PISCES HUB initiative.
• Provide architectural direction and hands-on leadership.
• Mentor development teams and enforce engineering best practices.
• Ensure scalability, configurability, and maintainability of rule-driven systems.
• Collaborate with Product, Payment Integrity SMEs, and Enterprise Architecture teams.

Configuration-Driven System Design

• Design and build:
  • Metadata-driven pipelines and workflow orchestration engines.
  • Dynamic business rule engines for payment integrity use cases.
  • Configurable API/data integration frameworks.
  • Template-based or parameterized services.
• Develop JSON/YAML/XML-based configuration interpreters.
• Enable runtime rule updates without redeployment.
• Design version-controlled rule lifecycle frameworks with auditability.

Data & Rule Configuration Modeling

• Design data models for:
  • Rule storage and versioning
  • Claims validation configurations
  • Payment integrity audit trails
• Optimize SQL/NoSQL databases for high-volume rule evaluation.
• Ensure rule governance, auditability, and compliance tracking.

Healthcare & Payment Integrity Domain Expertise

• Strong understanding of:
  • Healthcare payer systems
  • Claims adjudication workflows
  • Pre-pay and post-pay validation logic
  • Payment Integrity rule frameworks
  • Fraud, Waste & Abuse detection concepts
• Experience integrating with core healthcare systems (e.g., Facets, QNXT, Amisys or similar).
• Ability to translate payment integrity business requirements into scalable technical design.

Cloud & Event-Driven Architecture

• Design and implement event-driven systems using Kafka.
• Build microservices deployed in AWS environments:
  • EKS, ECS, Lambda
  • S3, RDS, DynamoDB
• Ensure high scalability and resilience for healthcare transaction workloads.

DevOps & Platform Engineering

• Implement CI/CD pipelines with automated testing.
• Containerize services using Docker and Kubernetes.
• Apply GitOps workflows for deployment automation.
• Ensure observability, monitoring, and production readiness.

Required Skills & Experience

• 8+ years of software engineering experience.
• 3+ years leading engineering teams or owning platform architecture.
• Strong proficiency in:
  • Python or Java (both preferred)
• Proven experience building configuration-driven systems.
• Strong database modeling expertise (SQL & NoSQL).
• Experience designing JSON/YAML/XML configuration interpreters.
• Hands-on experience with Kafka and event-driven architecture.
• Experience with AWS cloud services (EKS, ECS, Lambda, S3, RDS, DynamoDB).
• Strong grasp of CI/CD, Docker, Kubernetes, and GitOps.
• Strong knowledge of healthcare systems with focus on Payment Integrity.

Good to Have

• Exposure to Machinify platform or similar AI-driven payment integrity systems.
• Experience integrating rule engines with AI/ML-based fraud detection systems.
• Experience building healthcare data hubs or enterprise integration platforms.
• Familiarity with HIPAA-compliant system design.

Leadership Competencies

• Strong system design and architectural thinking.
• Ability to translate healthcare business rules into scalable technical solutions.
• Ownership mindset with strong accountability.
• Strong cross-functional collaboration and communication skills.
• Ability to balance long-term platform vision with delivery timelines.

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.