Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
Splunk is rapidly growing its internal Product Analytics capabilities and is seeking a Data Engineer to accelerate knowledge curation and own critical data infrastructure. In this role, you will nurture analytical thinking by enabling product analysts to mash-up valuable data from various sources, building state of the art tooling and infrastructure for critical analytics needs, and improving user experience on internal infrastructure.
You will ask the right questions about the data – what data is collected, where does it live, how can it best be utilized to answer business critical questions, and who should have access. You purposefully address data quality issues and look for opportunities to align both data and metrics collected/used across our portfolio and business units. You will contribute data and insights to help product owners and analysts make analytical decisions.
This is a full-time position based in either our San Francisco or Santana Row office.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.