Bill.com is a leader in financial process automation for small businesses and mid-size companies. Making it simple to connect and do business, the Bill.com Back Office Cloud digitizes, automates and simplifies legacy payment and financial processes. With an integrated, end-to-end platform, Bill.com leverages artificial intelligence to reduce manual work, and provides a cloud workspace to help run your business anytime, anywhere. The company partners with many of the largest U.S. financial institutions, more than 70% of the top 100 U.S. accounting firms, and major accounting software providers. Bill.com manages more than $70B in annual payment volume across ACH, virtual cards, checks, and international payments. The company has offices in Palo Alto, California and Houston, Texas. For more information, visitwww.bill.com or follow @billcom.
Mission: Bill.com moves over $60B per year and we have 10 years worth of customer data. We are leveraging this data to make data driven decisions, and apply data science and machine learning to solve a variety of tough problems. We are in the middle of a large-scale transformation to the public cloud and are developing data pipelines, data warehouse, and machine learning infrastructure in AWS.
Data engineers at Bill.com will be responsible for building data pipelines and the infrastructure to enable data science, data analytics, and machine learning at scale in AWS. Some of the problems we are currently working on include: detecting payment fraud, extracting semantic data from customer documents, and increasing customer acquisition through advanced analytics. Data engineers will own and build the data platform that makes all of this possible. We have multiple positions available at different levels of seniority.
Professional Experience/Background to be successful in this role:
5+ years of experience owning and building data pipelines.
Extensive knowledge of data engineering tools, technologies and approaches
Ability to absorb business problems and understand how to service required data needs
Design and operation of robust distributed systems
Proven experience building data platforms from scratch for data consumption across a wide variety of use cases (e.g data science, ML, scalability etc)
Demonstrated ability to build complex, scalable systems with high quality
Experience with multiple data technologies and concepts such as Airflow, Kafka, Hadoop, Hive, Spark, MapReduce, SQL, NoSQL, and Columnar databases.
Experience with specific AWS technologies (such as S3, Redshift, EMR, and Kinesis) a plus
Experience in SQL and one or more of Python, Java and Scala
Design and implement data infrastructure and processing workflows required to support data science, machine learning, BI and reporting in AWS
Build robust, efficient and reliable data pipelines consisting of diverse data sources
Design and develop real time streaming and batch processing pipeline solutions
Own the data expertise and data quality for the pipelines
Drive the collection of new data and refinement of existing data sources
Identify shared data needs across Bill.com, understand their specific requirements, and build efficient and scalable pipelines to meet various needs
Build data stores for feature variables required for machine learning
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