Senior Data Engineer
4 weeks ago
About Us:
NationsBenefits is a leading Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to deliver innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.
Our comprehensive suite of benefits, fintech payment platforms, and member engagement solutions help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.
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.
Position Overview:
As a Senior Data Engineer, you will be responsible for designing and implementing robust data engineering solutions to support our organization's data-driven initiatives.
The ideal candidate will possess a minimum of 5 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 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 provide guidance to junior members of the data engineering team.
Stay up-to-date with the latest trends and advancements in data engineering and contribute to the continuous improvement of 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.
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.
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