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.
We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.
Role:
As a Senior Data Engineer, you will develop and implement robust data engineering solutions to support our organization’s data-driven initiatives. The ideal candidate will have at least five years of hands-on experience in data engineering on high-performing teams. Expertise in DataBricks, dbt, and Python is a critical requirement for this role.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, dbt, and Python.
- Collaborate with cross-functional teams, including data scientists, analysts, and stakeholders, to understand data requirements and deliver solutions that meet business needs.
- Optimize and tune existing data pipelines for performance, reliability, and scalability.
- Implement best practices for data governance, security, and compliance.
- Lead efforts to streamline and automate data processes, reducing manual intervention and increasing efficiency.
- Mentor and guide junior members of the data engineering team.
- Stay up-to-date with the latest trends and advancements in data engineering and contribute to continuously improving data engineering practices within the organization.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Minimum 5+ years of hands-on experience in data engineering
- Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python
- Extensive experience with PurView a plus.
- Strong understanding of data warehousing concepts and methodologies.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Excellent communication and interpersonal skills
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
- Knowledge of data security and compliance standards is a plus.
NationsBenefits is an Equal Opportunity Employer
databricks Teamwork Problem-solving data-warehouse Python Establishing interpersonal relationships Amazon Web Services (AWS) cloud-platforms data-security Data Engineering Azure Communication Google Cloud Platform (GCP) data governance ETL DBT