Data Engineer

NationsBenefits; Plantation (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

NationsBenefits seeks a Data Engineer II to design, develop, and optimize enterprise data solutions in a healthcare setting. You will build scalable data pipelines, integrate data across platforms, and deliver high-quality data assets for analytics and decision-making.

The ideal candidate has strong hands-on Databricks, SQL Server, SSIS, and PL/SQL experience to support data warehouses and analytical models. Join a purpose-driven fintech healthcare team delivering value to members.

Qualifications

• Bachelor's degree in CS/IT/Engineering.
• 3+ years in Data Engineering or related role.
• Strong Databricks and Spark experience.
• Advanced SQL performance tuning skills.
• Experience with SQL Server, SSIS, and PL/SQL.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and SQL.
• Ingest, transform, and integrate data across healthcare systems.
• Develop data warehouses, marts, and analytical models.
• Create complex SQL queries, stored procedures, views, functions.
• Develop SSIS packages and data integration workflows.
• Use Databricks, Spark, Delta Lake for large datasets.
• Collaborate with stakeholders for effective data solutions.
• Monitor data quality and resolve performance bottlenecks.
• Support HIPAA compliance, governance, and security.
• Maintain technical documentation and data mappings.

Skills

ETL/ELT pipelines

Data Warehousing

Advanced SQL

Stored Procedures

Data transformation

Data governance

HIPAA compliance

Data integration

Education

Bachelor's degree in Computer Science/Information Technology/Engineering

Tools

Databricks

SQL Server

SSIS

PL/SQL

Apache Spark

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.

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.