Data Engineer I

NationsBenefits • Plantation, FL

4d • Onsite

About The Position

NationsBenefits is a leading Healthcare Fintech provider specializing in supplemental benefits, flex cards, and member engagement solutions. We collaborate with managed care organizations to offer innovative healthcare solutions that enhance growth, improve outcomes, reduce costs, and provide value to members. Our offerings include supplemental benefits, fintech payment platforms, and member engagement solutions designed to help health plans deliver high-quality benefits that address social determinants of health, thereby improving member health outcomes and satisfaction. Our robust, compliance-focused infrastructure, proprietary technology, and premier service model enable our health plan partners to deliver high-quality, value-based care to millions. We foster a rewarding work environment that attracts top talent and encourages contributions to premier service for both internal and external customers. Our mission is to positively transform the healthcare industry. We support career advancement through internal opportunities across our US, South America, and India locations. This Data Engineer I role is based in Plantation, Florida, and is an onsite position.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
• 0-3 years of experience in Data Engineering, Data Warehousing, Database Development, or a related field.
• Working knowledge of Databricks and Apache Spark.
• Strong SQL skills with the ability to write and troubleshoot complex queries.
• Experience with Microsoft SQL Server.
• Exposure to SSIS and PL/SQL development.
• Understanding of ETL/ELT concepts and data integration processes.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.

Nice To Haves

• Healthcare industry experience working with claims, provider, member, clinical, or operational data.
• Experience with Python or PySpark.
• Knowledge of data warehousing and dimensional modeling concepts.
• Familiarity with HL7, FHIR, ICD-10, or CPT is a plus.
• Databricks certification or related training is a plus.

Responsibilities

• Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies.
• Assist with data ingestion, transformation, and integration processes across enterprise systems.
• Develop and maintain SQL queries, stored procedures, views, and database objects.
• Support the development and maintenance of SSIS packages and data integration workflows.
• Work with Databricks and Apache Spark to process and transform data.
• Troubleshoot data quality issues and assist with production support activities.
• Collaborate with business users, analysts, and engineering teams to deliver data solutions.
• Create and maintain technical documentation and process documentation.
• Support data governance, data quality, and HIPAA compliance initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level