Data Engineer II
Plantation, FL
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 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.
Preferred experience
- 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.
Qualification wording
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
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.
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.
Tools in this posting
- Python
- SQL
- Databricks
- Delta
- Spark
- SQL Server
- PySpark
Source — Tool mentions in context
Preferred Qualifications: - Experience with Python and PySpark. - Knowledge of Delta Lake and Lakehouse architecture.
- Healthcare Data Management - Python - PySpark
Location: Plantation, Florida (Onsite) 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:
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.
- 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.
- 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.
- 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 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.
- Apache Spark - Advanced SQL - Microsoft SQL Server
- Advanced SQL - Microsoft SQL Server - SSIS
- SSIS - PL/SQL - ETL/ELT Development
- 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.
- 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.
- Experience with Git and CI/CD deployment practices. - Databricks certification preferred. Technical Skills:
Technical Skills: - Databricks - Apache Spark
- 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.
- Databricks - Apache Spark - Advanced SQL
- Python - PySpark NationsBenefits is an Equal Opportunity Employer.
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.
Location: Plantation, Florida (Onsite)
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.
- Databricks certification preferred.
Technical Skills:
- Databricks
- Apache Spark
- Advanced SQL
- Microsoft SQL Server
- SSIS
- PL/SQL
- ETL/ELT Development
- Data Warehousing
- Data Modeling
- Healthcare Data Management
- Python
- PySpark
NationsBenefits is an Equal Opportunity Employer.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on nationsbenefits.breezy.hr. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Plantation, FL
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Jul 23, 2026
- Recorded sightings
- 199
- Last seen by us
- Oct 13, 2026
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