Data Engineer, DevOps (US Remote Available)

Engineering San Jose, California San Francisco, California Washington, D.C. Seattle, Washington Phoenix, United States Portland, Oregon New York, New York Los Angeles, CA, California San Diego, California Orlando, Florida

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 strive to provide the best experience for our customers. At Splunk, we're committed to our work, customers, having fun, and most meaningfully to each other's success. Learn more about Splunk careers and how you can become a part of our journey!

The Analytics & Data Platform team (ADP) is responsible for Splunk’s data platform from ingestion to visualization. This platform enables our business partners to make the best data-driven decisions possible. We’re looking for a Data Engineer to join the team and contribute to the development and adoption of a true, self-serve, Data Mesh platform, with a focus on automation and observability. This position is responsible for the development, maintenance, and support of the data platform (including on-call rotations), partnering with all levels of customers in the course of support/adoption/migration activities, and actively participating in the growth and development of the ADP team and its capabilities and processes.

Responsibilities: I want to and can do that!

  • Operate: Perform the day to day updates, changes, and scheduled activities on the data platform. All the while, being attentive to opportunities for automation.
  • Support: Ensure SLAs are met by monitoring the data platform and responding to issues as they arise. Partner with other engineers or dependent teams as needed to resolve issues.
  • Develop: SQL and Python will be your go to tools, but by no means is that all. You’ll have a broad range of technologies that you’ll need to wrestle into submission to be successful: Terraform, Gitlab, Airflow, K8, Docker, DBT, and Linux, just to name a few.
  • Collaborate: Members of the ADP team are expected to work together to continuously improve the team’s processes, infrastructure, codebase, etc. Asking questions, challenging ideas, and recommending alternatives are all necessary for the team to continue to grow and improve. Passionate opinions are welcome.
  • Innovate: Develop creative solutions to edge cases that are causing unnecessary complications, with a focus on maintainability and scalability.

Requirements: I’ve already done that or have that!

  • 4+ years of work experience in a relevant field (Data Engineer, DevOps Engineer, Backend Engineer, etc.)
  • Experience with data warehousing technologies (Redshift, Snowflake, BigQuery, or similar)
  • Proficient SQL skills and strong experience working with relational databases
  • Proficiency in a major programming language (ideally Python)
  • Excellent code and repo hygiene

Bonus Points: Heck yeah!

  • Past experience as a user of Splunk
  • Experience with or a strong interest in containerization and/or Kubernetes
  • Experience with declarative configuration tools such as Terraform
  • Past experience contributing to an open source project
  • Passionate about technology with an insatiable curiosity for learning new things

Education: Got it!

  • B.S. degree in computer science, mathematics, statistics or a similar quantitative field, or sufficient relevant experience

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 you are 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.

Thank you for your interest in Splunk!