Senior Data Platform Engineer

Job not on LinkedIn

🕒 August 5

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NextGen Healthcare

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

💰 Venture Round on 2015-02

Healthcare • Consulting • Healthcare Insurance

NextGen Healthcare is a company that provides integrated health IT solutions to ambulatory practices. Their services include electronic health records (EHR), practice management, interoperability, patient engagement, and telehealth solutions. They aim to enhance the patient and provider experience through innovative technologies such as AI-driven workflows and mobile solutions. NextGen Healthcare also offers tailored solutions for various specialties and focuses on improving clinical and financial outcomes for their clients. They support practices of all sizes, from small offices to large enterprises, and emphasize the importance of interoperability and data exchange to enhance healthcare delivery.

📋 Description

• Own the enterprise Snowflake data platform, including administration, security, RBAC, warehouse management, cost optimization, monitoring, performance tuning, and operational reliability • Design, develop, and maintain scalable ELT/ETL pipelines using Informatica, SQL, Python, and cloud-native services • Define enterprise data architecture, integration standards, data modeling patterns, and engineering best practices • Lead data ingestion, transformation, orchestration, and delivery for enterprise analytics • Support Finance processes including month-end close, bookings, ARR, revenue, cost, reconciliations, and executive reporting • Own production operations including monitoring, observability, incident response, root-cause analysis, disaster recovery planning, and platform resiliency • Administer AWS services supporting the data platform, including S3, IAM, and Secrets Manager • Partner with Finance, Accounting, Product, Sales, Customer Success, HR, and IT to translate business requirements into scalable technical solutions • Establish data quality, validation, reconciliation, lineage, metadata, and governance standards • Develop automation for deployments, operational support, testing, monitoring, and platform administration • Mentor engineers, perform architecture and code reviews, and provide technical leadership across the BI and Data Engineering organization • Develop and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer artifacts • Evaluate emerging technologies and recommend improvements to scalability, security, performance, and operational excellence

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Business, Finance, or related discipline • Master's degree preferred or equivalent combination of education and experience • 8+ years of enterprise data engineering experience • Expert experience with Snowflake, SQL, Informatica, Python, and modern cloud data platforms • Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures • Experience supporting financial reporting, reconciliations, and mission-critical production data platforms • Experience administering cloud platforms, including AWS services supporting enterprise data engineering • Experience leading technical architecture, mentoring engineers, and influencing engineering standards • Advanced SQL, Python, and data engineering practices • Snowflake administration, security, optimization, and performance tuning • Informatica Intelligent Data Management Cloud / PowerCenter or equivalent integration technologies • AWS S3, IAM, Secrets Manager, and cloud-native integration patterns • Enterprise data modeling, governance, metadata, lineage, and data quality • CI/CD, source control, monitoring, observability, automation, and DevOps practices • Strong communication, collaboration, mentoring, and technical leadership skills • Ability to influence architecture and engineering decisions across matrixed teams without direct authority • Preferred: Power BI administration and semantic modeling • Preferred: Financial systems and ERP data integration • Preferred: Enterprise governance and AI-ready data platforms • Preferred: Experience leading modernization of enterprise data platforms