Lead Data Engineer - Remote

Overview

The Lead Data Engineer at Banner Health is responsible for designing, building, and scaling the next-generation data platform on the cloud, leading the engineering of reliable, secure, and scalable data products and pipelines that support analytics and operational insights.

In Short

• Design and optimize scalable batch and streaming data pipelines.
• Lead development of high-quality data products across various architectures.
• Build cloud-native data solutions using Databricks and AWS services.
• Establish engineering standards for code quality and testing.
• Drive best practices for data quality and performance tuning.
• Partner with governance and analytics teams for compliant data solutions.
• Mentor engineers and provide technical leadership.
• Translate business requirements into scalable technical designs.
• Support ingestion and transformation of complex data sources.
• Work closely with cross-functional teams to modernize data processes.

Requirements

• Bachelor's degree in Data Science, Computer Science, or related field.
• 6+ years of experience in data engineering or analytics engineering.
• 3+ years in a senior or lead engineering role.
• Strong hands-on experience with Databricks, Apache Spark, and AWS.
• Expertise in SQL and programming skills in Python or Java.
• Experience with large-scale distributed data systems.
• Strong understanding of data modeling and performance optimization.
• Familiarity with CI/CD practices for data platforms.
• Strong communication skills to work with technical and non-technical stakeholders.
• Ability to manage multiple priorities in a fast-paced environment.

Benefits

• Comprehensive benefits package for eligible positions.
• Health and financial security options.
• Opportunity to work with a nationally-recognized healthcare leader.
• Stimulating and rewarding career opportunities.
• Supportive work environment with a focus on employee well-being.