Data Engineer

At NationsBenefits, we are committed to helping health plan members achieve a better quality of life through supplemental benefit solutions. We are also passionate about supporting the goals of our associates and helping them do their best work. Together, we can make a meaningful and measurable difference in the lives of millions. That is something we can all be proud of.

It all begins with how we care about the people we serve. Since 2015, our mission has guided our principles towards delivering solutions for a rapidly changing industry. Compassionate Care is at the center of all we do, and it unites us to foster an environment where everyone is empowered, inspired, and equipped for success.

We offer a fulfilling work environment that attracts top talent and encourages all associates to do their part in delivering premier service to internal and external customers alike. It’s how we’re transforming the healthcare industry for the better. We provide career advancement opportunities from within the organization with multiple locations in Florida, California, Pennsylvania, Tennessee, Texas, Utah, and India.

You might also like to know that NationsBenefits is also recognized as one of the fastest-growing companies in America. We’re proud of how far we’ve come, and a career with us gives you growth opportunities, too.

Job Overview:

We are seeking an experienced Data Engineer with hands-on experience in data analysis, data engineering, and analytics tools. You will be responsible for designing, developing, and maintaining our analytics infrastructure, ensuring data accuracy, and enabling data-driven decision-making across the organization.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain ETL (Extract, Transform, Load) pipelines to collect and process data from various sources into a centralized data warehouse.

• Data Modeling: Create and maintain data models, data dictionaries, and documentation to support efficient data analysis and reporting.

• Data Analysis: Perform exploratory data analysis, develop data visualizations, and generate actionable insights to support business decision-making.

• Reporting and Dashboard Development: Build interactive and informative reports and dashboards using tools such as Tableau, Power BI, or similar platforms.

• Data Quality Assurance: Implement data validation and cleansing processes to ensure data accuracy, consistency, and reliability.

• Performance Optimization: Continuously monitor and optimize data pipelines and analytics processes for efficiency and scalability.

• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand their data needs and deliver solutions.

• Data Governance: Ensure data security, compliance, and governance standards are met, and contribute to data governance initiatives.

• Stay Current: Stay up-to-date with emerging trends and technologies in data engineering and analytics, and make recommendations for their adoption.

Critical Skills and Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent experience.
• 3 years of experience as a Data Engineer or Analytics Engineer or similar role.
• Proficiency in SQL, Python, or other relevant programming languages.
• Strong experience with data warehousing concepts and tools.
• Experience with ETL tools and processes.
• Familiarity with data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Knowledge of data security and compliance standards is a plus.

We offer a competitive salary, comprehensive benefits package, and a dynamic work environment. We are seeking an individual with a strong passion for Data. If you meet these qualifications and are committed to delivering exceptional results for our customers, we encourage you to apply for this exciting and impactful opportunity today at NationsBenefits.com.

NationsBenefits is an Equal Opportunity Employer