Sr. Data Platform Engineer

Position summary

Key responsibilities

• Design and implement scalable pipelines and ETL programs integrating complex internal and external data sources.
• Write and optimize SQL and Python queries for data processing and query performance.
• Maintain metadata repositories and enterprise data integrity, accuracy, and usability.
• Implement data standardization, reliability, and quality improvements across platforms.
• Troubleshoot complex analytics and database management problems in production and development.
• Maintain query libraries and custom software components for analytics and reporting.
• Recommend and implement tools, technologies, and practices to improve data engineering and system performance.
• Support governance, security, and regulatory compliance through data quality checks and documentation.
• Align data solutions with enterprise architecture and business priorities through cross-functional collaboration.
• Provide technical leadership and mentor junior engineering teams.

Qualifications and experience

• Bachelor’s degree or equivalent combination of education and experience.
• Typically requires 7+ years of relevant professional experience in data engineering or related fields.
• Hands-on experience with advanced ETL development, SQL/Python scripting, and multi-platform data integration.
• Expertise in data pipelines and ETL; advanced SQL and Python; strong data modeling, entity relationship, and metadata management knowledge.
• Familiarity with Hadoop, Apache Kafka, and distributed file systems such as HDFS.
• Healthcare or other regulated-industry experience is preferred.

Base pay

• The stated base pay range is $99,100–$132,100; the description gives no pay cadence.