I'm recruiting a Senior Data Engineer for my client, a Series D start-up that has been rated one of TIME100’s most influential companies. They empower YouTube creators by providing capital, insights, and partnerships to scale their businesses and offer creator-friendly growth capital tailored to each creator's needs, allowing reinvestment such as hiring teams or building production studios, while creators maintain control over content and earnings. They also provide creators with detailed content performance insights, helping them maximize their library and future upload value.
This company has been featured in publications like Forbes, Fast Company, Variety, and Axios, has deployed over $740 million to YouTube creators, licensed a vast catalog of 600,000+ videos generating 88 billion monthly watch-time minutes, and offers a unique media solution to Advertisers and Ad Agencies, known for its transparency and efficiency.
As a Senior Data Engineer, you'll use Spark and your software/data engineering expertise to scale their big data platform. Responsibilities include building scalable ETL pipelines, data quality checks, creating augmented datasets, utilizing analytics tools, troubleshooting, automating pipelines, setting up analytics tables, and enhancing AWS data quality. Additionally, you'll have the opportunity to mentor junior team members.
Required:
• 5+ years of software engineering experience
• 3+ years of data engineering with Apache Spark (including the last 2 years)
• 3+ years of experience with cloud services
• Proficiency in DataFrame APIs (Pandas and Spark) for parallel and single-node processing
• Proficiency in languages like Python or Scala
• Proficiency in SQL, particularly with Redshift
My client offers a comprehensive benefits package, including 100% medical, dental, and vision coverage, 401(k) matching, stock options, and complimentary gym access.
Apply now to learn more
