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Open nowPosted 68 days ago

Data Engineer I

NationsBenefits249 open roles

Where
Plantation, Florida, United States
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Your applicationOpen nowData Engineer INationsBenefits · Plantation, Florida, United States
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This job: posted 68 days ago

The posting

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.

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