Data Engineer I
Plantation, FL
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingBuild and maintain ETL/ELT data pipelines using Databricks and SQL
Write and maintain SQL queries, stored procedures, views and database objects
Support SSIS packages and data integration workflows
Troubleshoot data quality issues and assist with production support
Create and maintain technical and process documentation
From the employer’s posting
Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies.
Develop and maintain SQL queries, stored procedures, views, and database objects.
Support the development and maintenance of SSIS packages and data integration workflows.
Troubleshoot data quality issues and assist with production support activities.
Create and maintain technical documentation and process documentation.
What you’ll bring
All qualificationsCore experience
- 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.
- Strong SQL skills with the ability to write and troubleshoot complex queries.
- Experience with Microsoft SQL Server.
- Understanding of ETL/ELT concepts and data integration processes.
- Excellent communication and teamwork skills.
Preferred experience
- Experience with Python or PySpark.
- Knowledge of data warehousing and dimensional modeling concepts.
- Familiarity with HL7, FHIR, ICD-10, or CPT is a plus.
Qualification wording
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.
Strong SQL skills with the ability to write and troubleshoot complex queries.
Experience with Microsoft SQL Server.
Understanding of ETL/ELT concepts and data integration processes.
Excellent communication and teamwork skills.
Experience with Python or PySpark.
Knowledge of data warehousing and dimensional modeling concepts.
Familiarity with HL7, FHIR, ICD-10, or CPT is a plus.
Education & alternatives
Required Qualifications • 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.
Tools in this posting
- Python
- SQL
- Databricks
- Spark
- SQL Server
- PySpark
Source — Tool mentions in context
• 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.
• Healthcare Data (Preferred) • Python (Preferred) • PySpark (Preferred)
Location: Plantation, Florida (Onsite) Role: DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This role will work closely with senior engineers, analysts, and business stakeholders to build and support data pipelines, data integrations, and reporting solutions. The ideal candidate has foundational experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and healthcare data. Key Responsibilities
Key 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.
• 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.
• Working knowledge of Databricks and Apache Spark. • Strong SQL skills with the ability to write and troubleshoot complex queries. • Experience with Microsoft SQL Server.
• Strong SQL skills with the ability to write and troubleshoot complex queries. • Experience with Microsoft SQL Server. • Exposure to SSIS and PL/SQL development.
• Experience with Microsoft SQL Server. • Exposure to SSIS and PL/SQL development. • Understanding of ETL/ELT concepts and data integration processes.
• Apache Spark • SQL • Microsoft SQL Server
• SQL • Microsoft SQL Server • SSIS
• SSIS • PL/SQL • ETL/ELT Development
• 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.
• 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.
• Familiarity with HL7, FHIR, ICD-10, or CPT is a plus. • Databricks certification or related training is a plus. Technical Skills
Technical Skills • Databricks • Apache Spark
• Databricks • Apache Spark • SQL
• Python (Preferred) • PySpark (Preferred) NationsBenefits is an Equal Opportunity Employer.
Posting record
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- Live
- First seen by us
- Jul 27, 2026 · 87 days ago
- Recorded sightings
- 207
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
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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:
DATA ENGINEER I
The Technology & Data team is seeking a Data Engineer I to support the development, maintenance, and optimization of enterprise data solutions within a healthcare environment. This role will work closely with senior engineers, analysts, and business stakeholders to build and support data pipelines, data integrations, and reporting solutions. The ideal candidate has foundational experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and healthcare data.
Key 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.
Required Qualifications
• 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.
Preferred Qualifications
• 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.
Technical Skills
• Databricks
• Apache Spark
• SQL
• Microsoft SQL Server
• SSIS
• PL/SQL
• ETL/ELT Development
• Data Warehousing Concepts
• Healthcare Data (Preferred)
• Python (Preferred)
• PySpark (Preferred)
NationsBenefits is an Equal Opportunity Employer.
Source details
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- Location & working pattern
Plantation, FL
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