Senior Associate--Principal Data Engineer en None

Job Description:

• Build and enhance a Databricks-based analytics platform that delivers timely, reliable data for high-impact product analysis.
• Develop and optimize scalable data pipelines—including Kafka streaming, batch ETL, and API ingestion—to ensure high-quality data availability for customer and business needs.
• Automate workflows and consolidate siloed data to improve data accessibility and accelerate customer insights.
• Improve data infrastructure performance, reliability, and scalability to support mission-critical decisions.
• Collaborate with cross-functional teams in an agile environment to translate customer and product requirements into effective data engineering solutions.
• Contribute architectural guidance and technical leadership to ensure solutions are aligned with customer outcomes and long-term health systems.
• This is a hybrid position.

Experience and Qualifications:

• U.S. citizenship
• Bachelor’s degree or four years of experience in lieu of degree
• 12+ years of relevant experience delivering data engineering solutions that drive measurable customer or user value.
• Expertise with Databricks, Kafka, ETL development, workflow automation, and large-scale data processing.
• Strong understanding of data architecture, pipeline design, and infrastructure optimization for high performance and reliability.
• Experience working in agile, customer-focused environments with cross-functional teams.
• Excellent written and verbal communication skills with the ability to explain technical decisions in terms of customer impact.