Senior Data Engineer

Overview As a Senior Data Engineer, you will design, build, and maintain data platforms to enable data-driven decision-making and data activation. You will work across hybrid cloud/on-prem environments to deliver scalable data products and guide best practices across the engineering lifecycle. You will mentor teammates, lead performance- and reliability-focused work, and help reduce technical debt while staying current with industry trends. This is a hands-on role that blends architecture, development, and team leadership to impact analytics and operations at scale. Compensation / Benefitshealth benefitsperkscareer growthsupportive work-life balanceon-call rotations with production support ResponsibilitiesDesign and develop ETL/ELT pipelines to source and curate data from enterprise systemsCreate tabular and dimensional data models to support analytical and operational use casesBuild and maintain scheduled data processing jobsInvestigate and resolve data quality issues ensuring data security and reliabilityTroubleshoot complex data pipelines with advanced debugging techniquesLead code reviews focused on performance, scalability, and maintainabilityOperate in a hybrid data environment (on-premises and cloud)Develop relational and non-relational data models to meet user needsIdentify upstream/downstream dependencies affecting performance or reliabilityMonitor and address performance and scalability in large-scale data platformsParticipate in on-call rotations for incident management and production supportMentor team members and contribute to their technical developmentCollaborate with leadership to address technical debt and improve processesStay current on industry trends and promote best practices across the teamContribute to engineering community initiatives to raise visibility of data engineering work Key requirements7 years of experience building data solutions with relational and non-relational databases and batch/real-time pipelines using cloud services5 years of experience with dimensional or tabular data modelingExperience designing and developing complex data transformation pipelines5 years of experience with CI/CD and automated deploymentsExpertise writing complex SQL/NoSQL queriesExpertise in performance tuning, debugging, and troubleshooting data processing jobs (ETLs)5 years of experience in Python development, including AWS Lambda functionsProficiency in a functional or object-oriented programming languageStrong understanding of database and server internalsKnowledge of Linux system administration, shell scripting, and basic networkingExperience developing and consuming REST APIsmentoring and team developmentstrong problem solving and debuggingcommunication and collaboration across teamsETL/ELTdimensional and tabular data modelingdata quality and data governance