Job Description

About NationsBenefits:

At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back-office systems to create scalable, secure, and high-performing platforms that streamline operations for our clients. As part of our strategic growth, we are focused on

platform modernization

-- transitioning legacy systems to modern, cloud-native architectures that support the scalability, reliability, and high performance of core back-office functions in the insurance domain.

Position Overview:

We are seeking a self-driven Data Engineer with 4-7 years of experience to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. The role involves working across scrum teams to develop data solutions, ensure data governance with Unity Catalog, and support real-time and batch processing. Strong problem-solving skills, T-SQL expertise, and hands-on experience with Azure cloud tools are essential. Healthcare domain knowledge is a plus.

:

Work with different scrum teams to develop all the quality database programming requirements of the sprint. Experience in Azure cloud platforms like

Advanced Python Programming, Databricks

,

Azure SQL ,

Data factory (ADF), Data Lake, Data storage, SSIS. Create and deploy scalable

ETL/ELT

pipelines with

Azure Databricks

by utilizing

PySpark

and

SQL

. Create

Delta Lake

tables with ACID transactions and schema evolution to support real-time and batch processing. Experience in

Unity Catalog

for centralized data governance, access control, and data lineage tracking. Independently analyse, solve, and correct issues in real time, providing problem resolution end-to-end. Develop unit tests to be able to test them automatically. Use SOLID development principles to maintain data integrity and cohesiveness. Interact with product owner and business representatives to determine and satisfy needs. Sense of ownership and pride in your performance and its impact on company's success. Critical thinker and problem-solving skills. Team player. Good time-management skills. Great interpersonal and communication skills.

Mandatory Qualifications:

4-7 years of experience as a Data Engineer. Self-driven with minimal supervision. Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2 Microsoft TFS, Visual Studio, Devops exposure. Experience with cloud platforms such as Azure or any. Analytical, problem-solving mindset. HealthCare domain knowledge

Preferred Qualifications

* Healthcare Domain Knowledge