Data Engineer, Splunk & Snowflake

Overview As a Data Engineer, you will design, build, and maintain scalable data pipelines that transform operational and customer data into actionable insights. You’ll optimize cloud data platforms and enable data-driven decision-making across the organization. You will work closely with cross-functional teams to deliver enterprise-grade data solutions and contribute to analytics, reporting, and BI initiatives. This role emphasizes practical data handling, performance, and collaboration within a modern data ecosystem. Compensation / BenefitsMedical, dental & vision401(k) Retirement Plan – Pre-tax and Roth post-taxLife InsuranceShort and long-term disabilityHealth Spending Account (HSA)Time Off/Leave (PTO) ResponsibilitiesArchitect, construct, and maintain robust, scalable data pipelines and ETL workflowsManage and optimize data models within Data Lakes and cloud data warehousesAdminister monitoring, log analytics, and troubleshooting of data infrastructureCollaborate with cross-functional teams to translate data needs into scalable solutions Key requirements3-5 years of Data Engineering experienceDeep experience with Splunk, including data handling, dashboards, and ETL to data warehousesExperience building ETL pipelines and applying BI concepts on cloud data warehouses (e.g., Snowflake)Experience with Data Lake technologies (Apache Iceberg)Experience developing optimized SQL queries, stored procedures, and semantic processes for distributed data applicationscross-functional collaborationproblem-solvingeffective communicationSplunkSnowflakeETL/ELT development