Lead Data Engineer
Summary
Leads building and optimizing scalable ETL/ELT data pipelines for an insurance benefits platform, modernizing legacy back-office systems into cloud-native architecture while working across scrum teams. Core stack: Azure Databricks, PySpark, Delta Lake, Unity Catalog, T-SQL, and Azure data services (ADF, ADLS Gen2, Azure SQL).
About the Company
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 backoffice functions in the insurance domain.
About the Role
We are seeking a self-driven Lead Data Engineer with 10+ 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.
Job Description:
- 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 Realtime 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:
- 10+ years of experience as a Lead 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.
Preferred Skills
- HealthCare domain knowledge.