Aartificial intelligence, Amazon RedShift, Apache Flink, AWS, AWS Glue, Data Catalog, Data Engineering, Data pipelines, Database, ETL frameworks, Machine learning techniques, Optimization, Scala Programming
Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our investments to meet the unique needs of each creator we partner with, giving them the freedom to create without compromise.
Creators are free to reinvest their funds however they choose, from hiring a team, to building their own production studios, and everything in between, all while maintaining total control over their catalogs, their channels, and their future earnings. In addition to funding, Spotter provides creators with in-depth data insights into the performance of their existing content, enabling them to leverage the full value of their library, as well as the value of future uploads and how they can improve performance in the future.
Featured in Forbes, Fast Company, Variety, Axios, and more, Spotter has already deployed over $850 million to YouTube creators to reinvest in themselves and accelerate their growth. Spotter has licensed content that consists of over 725,000 videos, which generate 88 billion monthly watch-time minutes. With our curated premium video catalog, we deliver a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe.
What You’ll Do:
Are you ready to help lead the charge in shaping the data-driven future of Spotter? We're in search of an exceptional Principal Data Engineer who will play a pivotal role in designing, building, and optimizing scalable data infrastructure. You will help us with data pipelines for acquisition and transformation of large datasets, storage and querying optimizations of varying data to support a large range of use cases from Analytics to Creator Products to Operations using traditional and ML focused access patterns. You will be a key player in empowering us to make data-informed decisions that will fuel our innovation and growth.
Develop and maintain scalable data pipelines, including:
Who You Are:
Additional Valued Skills:
Why Spotter:
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The overall market range for roles in this area of Spotter are typically: $100K-$500K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include annual discretionary bonus and equity.
Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.
Spotter provides cash to Creators to grow or diversify their business while retaining their freedom. Dedicated to empowering Creators and growing the Creator Economy, with Spotter, Creators receive cash for their catalogs through licensing their existing videos (and/or future video uploads) and receive a payout instantly. Creators then use the funds to fuel their growth through hiring resources, investing, or anyway they choose, all while rem