Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an outstanding career destination and why we've won so many awards as the best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills, and talent, of course, but also bring happiness, passion, and all the things that make you, outstanding!
**Role**:
As a Data Engineer on the Marketing Operations Data Engineering Team, you will be responsible for supporting marketing performance evaluation through reporting, data architecture and infrastructure development. You will work closely with sales and marketing operations teams to enable effective measurement and continual optimization of campaign performance.
**Responsibilities**:
- Possess understanding of Cloud Data Warehouse methodologies, Data Architecture, Data Modeling and Digital Metadata.
- Support data discovery, research, troubleshooting and analysis based on the evolving needs of marketing partners.
- Build production-quality code to build models and work with IT and marketing teams to deploy them in production dashboards.
- Support highly available, reliable, innovative large-scale data warehousing solutions to facilitate data ingestion, build optimized aggregates and building reporting solutions.
- Drive QC processes, including test-case development, QC execution, user-acceptance testing hand-off to business partners and code remediation
- Sample projects: What's the best way to design and productionalize a dataset to meet a specific reporting need? What's the most effective way to visually display data to enable team members to track campaign performance and make optimization decisions?
**Requirements**:
- Experience within direct or database marketing functions; in a B2B environment is preferred.
- 2+ years of hands-on analytic engineering experience in supporting a marketing and/or sales team
- 2+ years experience with SQL queries and knowledge of database technologies including window and analytical functions.
- Solid understanding and hands-on experience working with Cloud database technologies like Redshift, Snowflake and/or scripting language like Python.
- Self-starter with a passion and curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets.
- Strong communication skills and an ability to provide technical guidance, direction and problem solving to less technical team members.
- Confidence to offer consultation to business partners and team members within Sales, Partner, Marketing Operations.
- A familiarity working with AGILE/SCRUM process management.
Bachelor's degree preferably in Computer Science, Information Technology, Management Information Systems, or equivalent years of industry experience.
**Splunk is an Equal Opportunity Employer**:
At Splunk, we believe creating a culture of belonging isn't just the right thing to do; it's also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard 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, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.