Data Engineer (Contract)

Business Technology | San Mateo, CA, United States

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We are a SaaS company and the world’s foremost evangelist of the Subscription Economy®. Zuora’s leading subscription relationship management platform helps enable businesses in any industry to launch or shift products to subscription, implement new pay-as-you-go pricing and packaging models, gain new insights into subscriber behavior, open new revenue streams, and disrupt market segments to gain competitive advantage. Zuora serves more than 800 companies around the world in every industry. The Subscription Economy Index (SEI) demonstrates that SEI companies are growing revenues approximately nine times faster than the S&P 500. Headquartered in Silicon Valley, Zuora also operates offices in Atlanta, Boston, Denver, San Francisco, London, Paris, Beijing, Sydney and Tokyo.

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Job Description

The Business Technology team is looking for a talented Data Engineer to join the team. You will be responsible for making sure that we are our own best user of Zuora Analytics. This data engineer will be the SME for anything “Data” in business and technical context. S/he will work with various teams within the company to perform data analysis around Customer 360 (Marketing, Sales, Quote to Cash, Revenue Recognition and other 3rd party managed data sources) and Bookings. This position requires constant interaction with the Products, Operations, Finance and BT teams to analyze data anomalies. The candidate must be able to deal with constant change in the user requirements, multiple parallel assignments and collaborate across groups as necessary.


  • Perform business data analysis (licensing, telemetry, sales hierarchies, visibilities, support tickets etc.) to drive decision making
  • Create data dictionary and metadata catalog to ensure standardization of data vocabulary
  • Design, Build, launch data pipelines optimized for SaaS Data Lake and own data quality for the pipelines
  • Monitor and remediate data quality issues with closed feedback loop; create daily anomaly reports
  • Enhance and maintain data pipelines to be extremely efficient & reliable for large amounts of data from source systems (Salesforce, Zendesk etc.), pre-processing, loading into derived Data Lake for downstream processing and analysis
  • Work with multiple teams in high visibility roles and own the solution end-to-end
  • Enable self-service. Develop new systems, tools, interfaces, dashboards to enable teams to consume and understand data & gain insights
  • Maintain custom transformations/calculations to meet specific business requirements (e.g. utilization model)
  • Implement and maintain Inbound/outbound integrations with Salesforce, Marketo, Zuora or Revpo etc.
  • Participate in sprint demonstrations with executive and customer stakeholders
  • Create design specs and ensure traceability from Functional, technical requirements to solutions


Skills & Qualifications

  • Experience with business processes and data around Customer 360, CRM and Revenue Recognition
  • In-depth knowledge of Database design, SQL and NoSQL, SaaS Data Lake, Time series analysis, OLAP, Data Warehouses and Metadata management
  • Hands on Experience with AWS services, security framework, events and notifications
  • Expert in SQL, Python/Java/PHP specifically as they relate to data management
  • Experience in ETL design, implementation and maintenance and using Mulesoft / Boomi / SnapLogic
  • General experience with BI tools and working with business users on analytics and reporting
  • Hands on experience in large scale high volume database design and optimization
  • Excellent problem solving skills with troubleshooting and root cause analysis
  • Good communication skills, both oral and written with experience working in a distributed, collaborative team
  • Ability to work without supervision
  • Hands on experience with Zuora is a plus
  • Bachelors/Masters in Computer Science or equivalent with 3-5 years of experience in data processing


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