Data engineer

A large enterprise team is seeking a data engineer to support the development and evolution of data‑driven rule‑based platforms. This role focuses on building, maintaining, and optimizing data pipelines and analytical systems that support advanced logic, automation, and machine learning use cases. The ideal candidate is hands‑on, adaptable, and able to deliver high‑quality work quickly in a collaborative environment.

Experience in healthcare or similarly complex, regulated domains is a plus, but not required.

Responsibilities

• Design, build, and maintain scalable data pipelines and data processing workflows
• Develop and optimize SQL and Python code to support analytics, automation, and rule‑based systems
• Work with large and complex datasets to ensure data accuracy, reliability, and performance
• Leverage distributed processing frameworks to support high‑volume data workloads
• Apply data engineering best practices to support AI and machine learning initiatives
• Collaborate with cross‑functional teams to translate data requirements into technical solutions
• Support ongoing enhancements to data platforms through testing, optimization, and monitoring
• Contribute to continuous improvement of data quality, performance, and reliability

Required experience and skills

• Strong proficiency in SQL and Python
• Experience working with cloud‑based data platforms, including GCP
• Hands‑on experience with Spark for distributed data processing
• Experience using Pandas for data manipulation and analysis
• Exposure to AI and machine learning concepts or workflows
• Ability to learn quickly, adapt to new tools and technologies, and deliver results efficiently
• Approximately three to five years of relevant experience, or equivalent hands‑on capability demonstrating the ability to perform the role effectively