AWS Data Engineer

Bill.Com Palo Alto , CA 94306

Posted 10 months ago

About is the leading business payments network, with 3 million members paying and getting paid over $52 billion per year. saves companies more than 50% of the time typically spent on financial back-office operations and helps businesses get paid 3 - 4 times faster by automating end-to-end payment processes. The company is the choice of 4 of the top 10 U.S. banks; leading accounting software providers QuickBooks Online and Xero; and over 50 percent of the top 100 U.S. accounting firms. It is the only business payments solution endorsed by the American Institute of CPAs (AICPA). The recipient of more than 70 awards, proudly received multiple PC Magazine's Editor's Choice Awards and CEO Ren Lacerte was recently recognized as an E&Y Entrepreneur of the Year.

Mission: moves over $50B 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.

AWS Data engineers at will be responsible for building data pipelines and theinfrastructure to enable data science, data analytics, and machine learning at scale in AWS. Some of the problems we're 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 one or more of Java, Scala, python and bash.

Expected Outcomes:

  • 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, understand their specific requirements, and build efficient and scalable pipelines to meet various needs

  • Build data stores for feature variables required for machine learning Culture:

  • 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

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
FrontEnd Engineer AWS Console Platform

Amazon.Com, Inc.

Posted 1 week ago

VIEW JOBS 2/7/2020 12:00:00 AM 2020-05-07T00:00 Amazon Web Services (AWS) is one of Amazon's fastest growing businesses. At AWS, we are passionate about thinking big, innovating on behalf of our customers, and tackling problems at scale. Millions of customers, from independent developers to large enterprises, interact with AWS by using the AWS Management Console. The Management Console is their introduction to AWS, and for many, their primary interface to accomplish a wide variety of tasks. It is our job to maintain and improve this experience, constantly innovating with rapid design and experimentation, leveraging well-established mechanisms for gathering and understanding user behavior and feedback. The AWS Console Experiences team is looking for a highly passionate and capable Front-End Engineer. As the stewards of AWS Global Navigation and Console Home, the primary gateway into the AWS experience, it is our team's job to help customers find what they need to complete their goals quickly and efficiently. In the coming months Global Navigation will be rebuilt with modern, web-component based technology; and Console Home will evolve to empower AWS teams and customers to personalize experiences, creating a cockpit-style dashboard to allow AWS customers to determine service status easily and to react quickly. If you are passionate about taking full advantage of modern Web browsers, open source technologies, and AWS services to help drive the future of the AWS customer experience, we'd love to hear from you! #awsplatform Amazon.Com, Inc. East Palo Alto CA

AWS Data Engineer