Compensation: $92,790.00 - $131,530.00 /year *
Employment Type: Full-Time
Industry: Information Technology
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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 located in Boulder, CO. This team is made up of a strong mix of very talented and driven individuals, with a proven senior leadership team with a strong technical background.The office layout is open and the floor plan helps to foster the casual, collaborative environment that has played a key role in the company s innovation of its product. In addition, you will find everything you would expect in the office of a progressive and fun company stocked kitchen with snacks and drinks to keep you nourished, rooftop patio, and no less than two craft beers on tap for your enjoyment.Our Team's Mission and MethodsThe Data Analytics Team at Splunk focuses on delivering actionable data on a silver platter to both external customers and internal data scientists, data analysts and users. Our new Data Analytics Platform was designed to satisfy the data quality requirements of our high-value and high-complexity data, while also providing fast query performance, ease of maintenance, automatic self-healing, immutable data, and fully automated CI/CD code deployment. Our target technology stack includes Kinesis, S3, Lambdas, Kubernetes, Athena (Presto), Postgres, Python, and Scala.The team's influences and backgrounds come from data warehousing, data lakes, big data, analytical data engineering, business intelligence, software engineering, and devops. We're currently building and transitioning into the Data Analytics Platform - and so are continuing to experiment, explore and evaluate these methods as we move forward.And we are committed to making the work fun, interesting, and exciting while collaborating, mentoring, and supporting one another.Who You AreOver the last five or more years you've been working as a data engineer to build and maintain custom data pipelines and data at rest in support of reporting and data analysis using a number of elements from our technology stack described above.You think of data as one of the most valuable resources an organization has, not just an inconvenient by-product of a process, but an opportunity-rich source of future features and capabilities. You understand that the success of a data engineering team is measured by the success of our data consumers and so think deeply and creatively about ways to deliver high-quality, high-functionality and high-performance data for these users.You are a software engineer for whom automated testing is as important as clean, performant and reusable code.You are an enthusiast - of analyzing data, of helping people make a difference with data, of building great analytical solutions, and of automated testing and software delivery.And as a Senior Data Engineer, you will be responsible for designing, developing and supporting data pipelines, data at rest, and machine learning applications. Software will be written in Scala, Python, SQL, and Spark using an Agile development process.BS in Computer Science or related plus 8 years of related professional experienceWhat We Offer You:A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies. A set of exceptionally talented and dedicated peers, all the way from engineering and QA to product management and user experience.A stable, collaborative and supportive work environment within a team that is fully committed to everyone's success and joy.We take work-life balance seriously: we prioritize a sustainable engineering culture over heroism, prioritize work that makes your life better, and many of us work from home two days a week.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.Thank you for your interest in Splunk!
Associated topics: data analytic, data architect, data integrity, data manager, data scientist, data warehouse, data warehousing, etl, mongo database, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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