Staff Data Engineer

Our Company:     Start your next chapter at Revecore! For over 25 years, we’ve been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We’re powered by people, driven by technology, and dedicated to our clients and employees. If you’re looking for a collaborative and diverse culture with a great work/life balance, look no further.     As part of our team, you’ll be rewarded with: 

• Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment 
• 12 paid holidays and flexible paid time off    
• 401(k) contributions   
• Employee Resource Groups that build community  
• Career growth opportunities   
• An excellent work/life balance 

Location: Remote – USA  

 

Overview 

The Staff Data Engineer will serve as a senior technical leader within Revecore’s Technology function, driving architectural decisions, platform modernization, and engineering excellence across the data ecosystem. This role is pivotal in shaping the future of Revecore’s data infrastructure, enabling scalable, secure, and efficient data operations working across Mint, Cura, and Bridge systems. A key responsibility of this role is to lead the migration and rationalization of legacy, homegrown tooling, infrastructure, and codebases—bringing clarity, structure, and modernization to historically complex or bespoke systems. 

 

Key Responsibilities 

• Platform Leadership: Own the quality and reliability of Revecore’s data platforms, ensuring high standards for availability, resilience, security, and scalability. 

• Architecture & Design: Define and evolve the architecture of data systems, including a modern data lakehouse strategy. 

• Legacy Modernization: Assess, deconstruct, and lead the migration of legacy homegrown tools, infrastructure, and codebases into scalable, maintainable, and cloud-native solutions. 

• Technical Guidance: Mentor senior engineers and collaborate with managers and technical leads to align engineering decisions with business goals. 

• Pipeline Development: Build and maintain scalable, maintainable, and reliable data pipelines for ingestion, transformation, and modeling. 

• Cross-Functional Collaboration: Partner with Analytics Engineers, ML Engineers, and Data Scientists to deliver tooling and automation that improves developer efficiency. 

• Cost Optimization: Monitor system performance and identify opportunities to reduce infrastructure and warehouse costs. 

• Innovation & Thought Leadership: Lead vision-setting for data systems and stay ahead of industry trends in data architecture and governance. 

• Quality & Standards: Champion engineering best practices and drive continuous improvement in code quality and deployment safety. 

 

Experience Requirements 

• 10+ years of professional experience in data engineering, software engineering, or platform development, with a strong track record of technical leadership and architectural ownersh