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At Backstage (www.backstage.com), we’re focused on providing the best career platform to match performing artists and crew with talent seekers in film, television, commercials, branded content, theater, and more worldwide.    We are searching for a Data Analytics Engineer who can confidently build and maintain quality ETL processes. This person will own a majority of the analytics data stack and work closely with the BI team to provide insights across the rapidly expanding international team at Backstage. The role requires the technical knowledge to transform, optimize and store data; as well as impeccable communication skills to document and ensure data is interpreted correctly.   As the Data Analytics Engineer, you will be responsible for building, maintaining and optimizing ETL processes that feed Backstage’s analytics. The BI team will rely on you to investigate python production code, read API documentation and work with developers to build an understanding of how information is specifically being collected. With this knowledge in hand, you will work with the analytics, finance, marketing and/or product teams to determine how the information should be transformed into a data model that is relevant to the business. You will need advanced SQL skills to transform data from multiple sources; and strong communications skills to clearly document and explain the final data model. There is a significant amount of analytical data infrastructure to build for a growing team, so you will need to balance priorities, meet deadlines and make sure you are investing enough time to make data models sustainable and easy to repurpose in the future.        Requirements and Responsibilities:
  • 3+ years professional experience in a data engineering or equivalent role
  • Strong proficiency in writing advanced SQL queries and leveraging core logic skills to transform data  
  • Experience working with relational databases, query authoring (SQL) and familiarity with a variety of databases 
  • Experience interpreting data from a variety sources from backend data to web engagement to third-party data 
  • Ability to communicate how data models should, and should not, be used for analytics 
  • Documenting processes and data structure for business users 
  • Solving your task at hand while maintaining an awareness on how you will repurpose and evolve your data models in the future 
  • Ensuring data stability with testing 
  • Building a DAG processes using dbt, Airflow or equivalent
  • Optimizing large tables in Redshift and its Spectrum service
  • Experience setting up data piping in Stitch and/or leveraging AWS Glue
  • Familiarity with modern web-based businesses and an understanding of common metrics and measurement techniques, including A/B testing
Backstage is the leading platform in creative talent placement in the United States, United Kingdom, Australia, Canada, New Zealand and Continental Europe. Backstage properties include Backstage, Mandy, and StarNow for hiring actors, models, voiceover artists, and crew; and Sonicbids, for booking musicians -- with plans to launch additional verticals organically, through acquisition, and by expanding to new markets across the globe. Nowhere else will you find the same combination of startup energy, trailblazing innovation, and entertainment industry creativity built upon the solid foundation of one of the industry’s most beloved and recognized names.   We are a passionate, agile team who are disrupting the creative talent placement marketplace through product-first design, leading technology, and a proven business model. At the heart of our success and growth are a tight-knit group of hardcore technologists, writers, marketers, and product designers who believe that collaboration creates a better experience for our users. Our team reflects and upholds our mission to level the playing field by presenting opportunities for careers in the arts to creatives from diverse backgrounds in all corners of the world.   We offer benefits including health insurance (vision and dental available), 401K, and tickets/tuition for select conferences/courses.