Data Engineer (US Remote Available)

Splunk

531d • $146,400 - $201,300 • Hybrid

About The Position

Splunk is seeking a passionate data engineering candidate to join our Enterprise Applications Transformation Office. In this role, you will leverage your analytical and engineering skills to support our growing Go-To-Market (GTM) Business. You will collaborate with data systems analysts, IT, Finance, Sales, and Customer Experience (CX) teams to drive operational excellence and performance insights across the organization. Your primary focus will be on integrating Cisco and Splunk, democratizing, maintaining, optimizing, and growing our GTM analytics. This position requires excellent attention to detail and the ability to engage effectively with internal business partners. You will apply software engineering best practices to analytics code and transform data into actionable insights. As a data engineer, you will design and develop go-to-market analytics using tools such as dbt, Snowflake, and Python. You will coordinate production analytics deployments with the Analytics Data Platform Team and manage downstream dashboard delivery with the Tableau engineering team. A deep understanding of our data and benchmarking will be essential, as well as an understanding of the broader data management strategy at Splunk to ensure alignment with current and future development. Your responsibilities will include finding practical ways to integrate data and insights to monitor and diagnose business performance, identifying opportunities to improve systems and processes, and leading documentation efforts to provide a single source of truth for GTM metrics across the company. You will also work cross-functionally with adjacent operations and analytics teams to integrate data, process, and metrics requirements into wider corporate initiatives. Ultimately, you will be a partner to the business, prioritizing work based on the insights it can deliver to positively impact Splunk's bottom line.