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# Data Engineer

- **Company:** U.S. Medical Management, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $205,000.0
- **Contract:** Permanent contract
- **Skills:** ActiveX, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Big Data, Clinical Data Repository, Cloud Computing, Cloud Computing Security, Cloud Engineering, Code Review, Cyber Security, Information Systems, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Relational Databases, Software Debugging, DevOps, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Microsoft Software, Network Architecture, Online Transaction Processing, Oracle (Applications), Scrum Methodology, Software Architecture, Systems Development Life Cycle, Release Management, Software Tools, Cloud Services, Standard Sql, Software Deployment, Software Engineering, SQL Databases, Systems Integration, Transaction Processing (Computing), Data Processing, Scripting, Enterprise Software Applications, Apache Spark, Electronic Medical Records, Information Technology, Api Design, Software Coding, Terraform, Multiplatform, Software Version Control, Api Management, Servicenow, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer--7eaab0b0-6ff2-4759-b3c2-2a9eb28caffa

## About the Role

Required Knowledge, Skills and Experience

 * Bachelor's degree in computer science, Engineering or a related field or equivalent experience
 * 10+ years of hands-on data engineering experience.
 * 5+ years of data modeling and solution design experience in healthcare/health insurance domain
 * 5+ years of experience working in an enterprise software environment in a regulated industry (example: healthcare, financial services)
 * 5+ years of experience working with clinical and claims data, including familiarity with compliance (HIPAA, HITRUST, SOC2), EMR integrations, care delivery, and platforms supporting patients and providers
 * 5+ years of experience in enterprise big data platform infrastructure development
 * Most recent role must have been in HCLS data engineering space
 * Deep hands-on knowledge of modern big data processing practices, architectures, and tools, including cloud security
 * Expert Python and SQL
 * Databricks (expert preferred)
 * Data loading solution in conjunction with a Spark-based data platform
 * Cloud architecture and security
 * DevOps and release engineering
 * Technical diagramming (Draw.io/Lucid)
 * Healthcare data modeling and ETL development
 * Experience using AI tools to augment and force multiply code development
 * Application of SDLC, DevOps, version control, and code deployment best practices
 * Application of agile software engineering principles, plus use of JIRA/ADO/ServiceNow or similar
 * Strong critical thinking ability
 * Deep understanding of claims data, provider attribution, actuarial services, Medicare/Medicaid data and programs, risk adjustment, value-based care models

Preferred Knowledge, Skills and Experience

 * Master's degree in computer science, information systems, or another engineering discipline
 * Prior experience working with AthenaOne EHR configuration, API integrations
 * Previous role as cloud solutions architect
 * AWS/Azure cloud architecture certifications
 * Hands on development experience with DBT
 * RDBMS (Oracle, PostgreSQL) and OLTP basics
 * API development and integration
 * Distributed compute optimization
 * Hands on knowledge of Microsoft ADF
 * Terraform (IaC) experience
 * Working experience with AthenaOne EHR configuration, API integrations

Posted Max Pay Rate: USD $205,000.00/Yr. Posted Min Pay Rate: USD $130,000.04/Yr. Pay Transparency: Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, and other job-related considerations.

Skills:
Actuarial Skills, Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Automation, Best Practices, Big Data, Clinical Data, Cloud Architecture, Cloud Computing, Code Reviews, Computer Science, Continuous Improvement, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Debugging Skills, Design Services, Detail Oriented, DevOps, Disability Insurance, Electronic Medical Records, Emerging Technology, Engineering, Enterprise Applications, Financial Services, HIPAA (Health Insurance Portability and Accountability Act), Health Insurance, Healthcare, Healthcare Quality, Home Care, Identify Issues, Information Technology & Information Systems, Life Insurance, Medicaid, Medical Record System, Medicare, Mentoring, Microsoft ADO (ActiveX Data Object), Microsoft Product Family, Microsoft Windows Azure, Multiplatform/Cross-Platform, Network Architecture/Engineering, Operational Audit,
Options Analysis, Oracle, PostgreSQL, Primary Care, Product Support, Professional License, Proofreading, Python Programming/Scripting Language, Quality of Care, Relational Databases (RDBMS), Release Management/Engineering, Risk, SQL (Structured Query Language), Scalable System Development, Scrum Project Management and Software Development, Security Architecture, Semantic Reasoner, ServiceNow, Software Architecture, Software Engineering, Team Player, Technical Drawing, Testing, Time Management, Transaction Processing/Management, User Interface/Experience (UI/UX)

## Description

The Senior Data Engineer is responsible for designing, developing, and optimizing scalable data infrastructure as well as tidy healthcare data products supporting advanced analytics and healthcare operations. The role is required to be collaborative, curious, and detail-oriented and innovates using future-proofing principles in software architecture., * Partner with end users and product team to translate business and user requirements into technical solutions using system thinking principles, ensuring performance, scalability, maintainability, security, and user experience

 * Complete tasks using and lead by example with:
 + Clean, well-documented, quality and efficient ETL code
 + Well-architected scalable data models and code that scales via rules engine designs
 + Debugging and troubleshooting complex data issues and provide timely solutions
 + Contribution to improvement of DevOps and ProdOps with automation of builds, testing, deployment and monitoring
 + Peer code reviews, mentoring and training junior team members
 + Build scaled jobs and data integration solutions across platform types with best practice in security and network engineering
 + Train other developers and stakeholders in adoption of new solutions
 + Adherence to agile and scrum processes.
 * Continuously improve technical skills and stay current with emerging technologies, integrating these into the platform and/or development processes to keep enhancing developer productivity and capabilities of the system
 * Consistently demonstrate deep critical thinking, curiosity, and strong collaboration
 * Consistently demonstrate a sustained drive to understand problems at their core, evaluate all viable options, and deliver the most effective solution
 * Employees will be required to perform other job-related assignments as requested.


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