Senior Data Engineer

This company is a leading technology partner dedicated to modernizing enterprise data ecosystems and delivering innovative solutions for public sector missions.The Role Design and build cloud-native data pipelines and analytics solutions for federal and state customers. Serve as a technical leader, architecting modern data platforms and guiding engineering decisions. Partner with various teams to modernize data ecosystems and design high-performance analytics platforms. Establish engineering best practices, mentor fellow engineers, and influence technical direction. Lead the architecture, design, and implementation of enterprise-scale cloud-native data platforms. Develop high-performance data processing solutions using Python, SQL, Spark, and distributed computing technologies.What You'll Need Minimum of 7 years of experience in data engineering or related roles. Demonstrated experience architecting cloud-native data platforms in AWS environments. Expert-level proficiency with Python, SQL, Apache Spark, and distributed data processing frameworks. Experience designing and implementing modern data lake, lakehouse, and enterprise data platform architectures. Experience implementing data governance, metadata management, data lineage, and data quality solutions. Ability to lead technical initiatives and influence architecture decisions across engineering teams.What's On Offer Opportunity to work on mission-critical solutions for federal and state customers. Role focused on cutting-edge cloud-native data and analytics solutions. Chance to mentor and coach data engineers and shape technical standards. Fully remote work flexibility.Apply via Haystack today!