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About Splunk:

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!

As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are hiring Data Scientists and Engineers who are passionate about solving practical business questions with data-driven analytics. 


As a Senior Data Engineer, you will serve as the technical leader for creating and designing the data management and experimentation framework for the Data Science Organization. You will translate business needs into requirements in collaboration with engineering, product management, IT, and other stakeholders to create the collaborative and secure environment for data, tools, and infrastructure to streamline data access, analysis and presentation. You will be instrumental in creating pipelines, the data integration framework, and automation that moves and translates data to enable the analytical experiments, models, reports, and dashboards that inform business critical decisions. 


  • Create the vision to build and evolve the team’s data infrastructure and tools. Serve as the technical lead for the design, build, and launch of new data models and data pipelines.
  • Ensure production quality methods to retrieve, condition, validate, synthesize, and manipulate data.
  • Build custom integrations between cloud-based systems using APIs.
  • Continuously evolve and improve the data architecture and delivery as new requirements emerge.
  • Build cross-functional relationships with data scientists, product managers, software engineers, and business partners to understand the data and tools needed and deliver on those needs. Seek diverse perspectives to drive innovation and create buy-in across stakeholders.
  • Iterate, document, and communicate throughout the development lifecycle.


  • Passionate about data quality and delivering effective data to impact the business and grounding decisions in data and reasoning.
  • Ability to explain complex data problems in clear and concise language.
  • Experience with architecting and building environments to experiment with data.
  • Experience in data store design (data lakes; relational, columnar, NoSQL databases; analytics/OLAP cubes)
  • Experience with data warehousing, data modeling, and data transformation.
  • AWS and DevOps experience with AI/ML pipelines.
  • Experience using Docker and Kubernetes.
  • Strong expertise in one or more languages such as Java, Python, and SQL.
  • Experience ensuring data integrity, security and encryption.
  • Excellent communication, collaboration, and technical mentoring skills.
  • Focused on impact through disciplined execution and results.
  • BA/BS in Computer Science (or equivalent experience) with 5+ years of data engineering experience.
  • Experience working with distributed teams across multiple time-zones.

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.

Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.
Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.
Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

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