Lead Data Engineer

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About Rocket Lawyer

We believe everyone deserves access to simple and affordable legal services.

Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America and Europe, Rocket Lawyer has helped over 20 million people create over 50 million legal documents, and get their legal questions answered.

We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge!

About the Role

Rocket Lawyer is looking for a Lead Data Engineer that will contribute in all aspects of creating an analytical data driven environment. The core data engineering team is responsible for the building out the data pipeline, gathering internal and external data, generating metrics, managing and monitoring batch and streaming jobs, and implementing analytical tools to drive strategic decision making.

A Day in the Life

  • Evangelize Modern Big Data Practices
  • Design warehouse schemas that accurately represent our business, and facilitate analysis and building of reports
  • Help build batch and streaming data ingestion pipeline using Hadoop, Hive, Pig, Storm, and Kafka Streams
  • Write ETL jobs to transform raw data into business information to drive decision making
  • Develop analytical environment using internal and external reporting tools
  • Integrate internal and external data with warehouse and external tools

Experience

  • Excellent technical skills including expert knowledge of the Hadoop ecosystem
  • Experience of the analysis, design and development of Data Warehouse and Big Data solutions, including analyzing source systems, developing ETL design patterns and templates, ETL development, data profiling and data quality issues resolution.
  • Project and team management experience
  • Excellent communication skills and presentation skills
  • Strong SQL, Java, and Python skills
  • Database (relational & NoSQL), Data Warehouse knowledge
  • Stream processing experience (Storm, Kafka Streams)
  • Passion and enthusiasm for learning new technologies and technique
  • Comfortable with Linux
  • BS or MS in computer science
  • Detail oriented and organized
  • Desire to learn broad set of technologies

Benefits and Perks

  • Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
  • Unlimited PTO
  • Competitive salary packages
  • 401k program
  • Life insurance
  • Disability benefits
  • Flexible Spending Accounts
  • Commuter/Transit Program
  • Your choice of a MAC or PC
  • Monthly onsite masseuse sessions
  • Weekly Friday catered lunches
  • Company sponsored events, both on- and off-site
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Location

182 Howard Street, San Francisco, CA 94105

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