Senior Engineer, Data

🔥 8 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ensemble Health Partners

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2022-03

Consulting • Insurance • Logistics

Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.

📋 Description

• Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations. • Apply generative AI tools in day-to-day engineering work to accelerate development and improve quality. • Translate product and business concepts into incremental, high-quality technical deliverables. • Contribute through hands-on design sessions and thorough code reviews. • Implement data quality monitoring to ensure accurate, reliable production data. • Review and recommend architectural patterns aligned with enterprise platforms and best practices. • Consistently applies generative AI in day‑to‑day engineering work - using it to accelerate development, improve code quality, troubleshoot complex systems, and design scalable data solutions.

🎯 Requirements

• 6+ years of hands-on experience developing solutions using Microsoft SQL • 3+ years working with big data technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus) • Strong understanding of engineering fundamentals including automated testing, code reviews, telemetry, iterative delivery, and DevOps • Experience with polyglot storage architectures including relational, columnar, key-value, and graph systems • Hands-on experience with Delta Lake tables and Parquet data stored in ADLS • Experience building distributed, componentized applications using event-driven patterns • Ability to communicate effectively with both technical and non-technical, globally distributed audiences • Solid foundation in software architecture, design patterns, and engineering best practices • Experience working with healthcare datasets; familiarity with HL7 or EDI is a plus • High attention to detail and a strong sense of ownership.

🏖️ Benefits

• healthcare • time off • retirement plans • well-being programs • professional certification reimbursement • tuition reimbursement • quarterly and annual incentive programs