Senior Data Platform Engineer

NationsBenefits is recognized as one of the fastest growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.

Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.

Position Overview:

As a Senior Data Platform Engineer, you will be a key contributor to our new Enterprise Data Platform initiative, working under the guidance of a platform architect. You will help implement robust, scalable Azure cloud infrastructure that supports our data ecosystem, including streaming data services, operational databases, and secure data handling capabilities. In this role, you will help drive technical direction and establish best practices while collaborating with cross-functional teams to deliver platform components that meet business requirements.

Key Responsibilities:

1. Collaborate with the platform architect to implement Azure-based data platform infrastructure supporting the organizations data services.


2. Develop and maintain streaming data services using technologies such as Kafka and Event Hub within our Azure environment.


3. Contribute to DevOps practices implementation including CI/CD pipelines, infrastructure-as-code, and automated testing for platform components.


4. Configure and optimize Databricks environments according to architectural guidelines.


5. Develop cloud-native solutions for data ingestion, processing, and delivery using Azure services, Airflow orchestration, and Python.


6. Help establish and implement monitoring, alerting, and logging systems for platform components.


7. Assist in implementing security controls and compliance measures for sensitive data handling, with focus on PII masking capabilities.


8. Provide technical expertise and recommendations for platform enhancements and best practices.

Qualifications:

• Bachelors degree in Computer Science, Information Technology, or related field.


• 5+ years of hands-on experience in data engineering.


• 3+ years of working with streaming data technologies such as Kafka or Event Hub.


• Strong expertise in Azure cloud services relevant to data platforms.


• Experience working with and managing a Databricks environment.


• Experience with DevOps practices including infrastructure-as-code and CI/CD implementation.


• Extensive Python programming skills for automation and data processing.


• Experience with Apache Airflow for workflow orchestration.


• Demonstrated ability to implement secure data environments.


• Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience working with global teams across different time zones.


• Knowledge of HIPAA or PCI compliance requirements in cloud environments.


• Azure certifications (Azure DevOps Engineer, Azure Data Engineer).


• Experience with PII data handling and security controls.


• Proficiency with cloud monitoring and observability tools.