Bill.com is a leading provider of cloud-based software that simplifies, digitizes, and automates complex, back-office financial operations for small and midsize businesses. Customers use the Bill.com platform to manage end-to-end financial workflows and to process payments, which totaled over $70 billion for fiscal 2019. The Bill.com AI-enabled, financial software platform creates connections between businesses and their suppliers and clients. It helps manage cash inflows and outflows. The company partners with several of the largest U.S. financial institutions, more than 70 of the top 100 U.S. accounting firms, and popular accounting software providers. Bill.com has offices in Palo Alto, California and Houston, Texas. For more information, visit www.bill.com or follow @billcom.

The Data Engineer will be part of Data Engineering Team that enables Marketing, Sales, Customer Support and Finance teams to glean insights and drive business growth. You will work closely with other highly collaborative team members like engineers, data scientists, business engagement leads and business analysts to understand what the business is trying to achieve, and design optimal data models, and provide analytical solutions.

What you will do:

Your initial project will be focused on our new Customer Data Platform where we are building a 360-degree view of our customers.

Design and develop data pipelines that creates various datasets using Apache Spark and/or other data integration tools.

Design and build workflows to integrate data across different systems.

Develop ELT/ETL and implement best practices for ELT/ETL development.

Setup monitoring processes to check data quality.

Work effectively using scrum with multiple team members to deliver analytical solutions to the business functions.

Have a high sense of urgency to deliver projects as well as troubleshoot data pipelines/queries etc.

Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity.

About You:

You are passionate about data and the design and development of systems that enable data driven decisions.

You thrive on the opportunity to collaborate with cross functional teams to create customer and business value.

You have the capability to synthesize business requirements and construct the technical requirements and engineering project plans.

You have strong knowledge of data architecture, data modeling, and data infrastructure ecosystems.

You have an analytical mindset and have a passion for solving business problems using data.

You are a creative thinker and a strong problem solver with meticulous attention to detail and can tackle loosely defined problems.

You have excellent written and verbal communication skills with an ability to communicate in a clear, collaborative and open-minded manner and effective manner with both technical and non-technical peers.

You have the ability to initiate and drive projects to completion with minimal guidance in a dynamic environmen

Qualifications

• 3+ years data engineering experience in large scale data warehouse or datalake environment.
• BS/MS in Computer Science or equivalent is required.
• Proficiency in building data pipelines using Apache Spark or other ETL technologies is required.
• Expertise in SQL and data analysis is required.
• Experience with at least one programming language such as Python or Java is required.
• Experience with Mulesoft/Workato will be a strong plus.
• Experience working directly on a Customer Hub or Customer 360 project will be a strong plus.
• Experience with Amazon AWS is a plus.

Bill.com is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.

●      Humble – No ego

●      Fun –  Celebrate the moments

●      Authentic – We are who we are

●      Passionate – Love what you do  

●      Dedicated – To each other and the customer