Data Engineer

NationsBenefits; Plantation (FL); On-site; USD 95,000 - 125,000; Full time

Job summary

NationsBenefits is seeking a Data Engineer II to design, build, and optimize enterprise data solutions in a healthcare environment.

You will develop scalable ETL/ELT pipelines using Databricks and SQL technologies, and support data warehouses, data marts, and analytical models to inform business decisions.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 3+ years in Data Engineering, Data Warehousing, or similar.
• Strong expertise with Databricks and Spark.
• Advanced SQL and performance tuning skills.
• Experience with MS SQL Server, SSIS, and PL/SQL.
• Healthcare data experience (claims, provider, member) preferred.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Integrate data across multiple healthcare systems and platforms.
• Develop data warehouses, data marts, and analytical models.
• Write complex SQL queries, procedures, views, and objects.
• Support SSIS packages and data integration workflows.
• Use Databricks, Spark, and Delta Lake for large datasets.

Skills

Analytical thinking

Data modeling

ETL design

HIPAA compliance awareness

Communication

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Databricks

SQL Server

SSIS

PL/SQL

Apache Spark

Delta Lake

Job description

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.

Type: Full-Time

About Role:

The Technology & Data team is seeking an experienced Data Engineer II to support the design, development, and optimization of enterprise data solutions within a healthcare environment. This role is responsible for building scalable data pipelines, integrating data across multiple platforms, and delivering high-quality data assets that support analytics, reporting, and business decision-making. The ideal candidate will have strong hands‑on experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and healthcare data.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and SQL technologies.
• Build and optimize data ingestion, transformation, and integration processes across healthcare systems and enterprise data sources.
• Develop and support data warehouses, data marts, and analytical data models.
• Create, optimize, and maintain complex SQL queries, stored procedures, views, functions, and database objects.
• Develop and support SSIS packages and data integration workflows.
• Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large datasets.
• Collaborate with business stakeholders, analysts, architects, and application teams to deliver effective data solutions.
• Monitor data quality and resolve performance bottlenecks and production issues.
• Support HIPAA compliance, data governance, and data security initiatives.
• Develop and maintain technical documentation and data mappings.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum of 3 years of experience in Data Engineering, Data Warehousing, or a related technical role.
• Strong hands‑on experience with Databricks and Apache Spark.
• Advanced SQL development skills, including query optimization and performance tuning.
• Strong experience with Microsoft SQL Server, including stored procedures, indexing, and database performance tuning.
• Experience developing and supporting SSIS (SQL Server Integration Services) packages.
• Experience with PL/SQL development.
• Experience building and maintaining ETL/ELT pipelines and data integration solutions.
• Healthcare industry experience working with claims, provider, member, clinical, or operational healthcare data.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications:

• Experience with Python and PySpark.
• Knowledge of Delta Lake and Lakehouse architecture.
• Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and CPT.
• Experience with Git and CI/CD deployment practices.