Senior Data Engineer

Coupa Software (NASDAQ: COUP), a leader in business spend management (BSM), has been certified as a “Great Place to Work” by the Great Place to Work organization. We deliver “Value as a Service” by helping our customers maximize their spend under management, achieve significant cost savings and drive profitability. Coupa provides a unified, cloud-based spend management platform that connects hundreds of organizations representing the Americas, EMEA, and APAC with millions of suppliers globally. The Coupa platform provides greater visibility into and control over how companies spend money. Customers – small, medium and large – have used the Coupa platform to bring billions of dollars in cumulative spend under management. Learn more at www.coupa.com. Read more on the Coupa Blog or follow @Coupa on Twitter.
Do you want to work for Coupa Software, the world's leading provider of cloud-based spend management solutions? We’re a company that had a successful IPO in October 2016 (NASDAQ: COUP) to fuel our innovation and growth. At Coupa, we’re building a great company that is laser focused on three core values:
1. Ensure Customer Success – Obsessive and unwavering commitment to making customers successful.2. Focus On Results – Relentless focus on delivering results through innovation and a bias for action.3. Strive For Excellence – Commitment to a collaborative environment infused with professionalism, integrity, passion, and accountability.

Responsibilities:

• Build and maintain internal trust in Coupa Travel's key datasets
• Monitor data pipeline health and address impairments and outages
• Level up Coupa Travel’s data capabilities
• Work with stakeholders across the business to answer their data needs
• Understand the reasoning behind key product and design decisions and contribute good solutions to implementation and architecture discussions
• Educate Engineering, Product, and the rest of Coupa Travel on relevant data best practices
• Lead key initiatives to improve our product and team life
• Writing code!* White-boarding the benefits and disadvantages of various approaches to an architecture decision
• Testing initial prototypes with the engineering and product team to solicit feedback and iterate on the next version
• Reviewing your code, architecture, and style decisions with other engineers

Qualifications:

• 5+ years of experience in a data engineering, analytics, or machine learning role
• BS in Computer Science or similar field
• A broad background in modern data best practices
• An ability and willingness to make strategic decisions that impact the business for years
• Experience with ETL/ELT using Spark or similar tools.
• Experience with cloud data warehouses like AWS Redshift, Snowflake, BigQuery and Azure Synapse Analytics (formerly SQL DW).
• Experience with BI tools like Qlik, Sisense, Looker, Birst and Power BI
• Strong analytical SQL skills.
• Programming experience with Ruby, Python or equivalent.
• Experience building solutions using REST web services.
• Excellent communication skills.
• Experience with agile development processes.

At Coupa, we have a strong and innovative team dedicated to improving the spend management processes of today’s dynamic businesses. It’s our people who make it happen, and we strive to attract and retain the best in every discipline.
We take care of our employees every way we can, with competitive compensation packages, as well as restricted stock units, an Employee Stock Purchase Program (ESPP), comprehensive health benefits for employees and their families, retirement and savings plans with employer match, a flexible work environment, no limit vacations for exempt employees, non-exempt employees are on an accrual basis for PTO, catered lunches…And much more!
As part of our dedication to the diversity of our workforce, Coupa is committed to Equal Employment Opportunity without regard for race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion.
Please be advised, inquiries or resumes from recruiters will not be accepted.