About Masterworks
Masterworks is a fintech platform that allows anyone to invest in SEC-qualified shares of multi-million dollar paintings by names like Banksy, Basquiat, and Picasso. In just three short years, we have built a portfolio of nearly $800 million in world-class artworks, introducing over 800,000 individuals to the $1.7 trillion art market.
Masterworks has been covered by major media publications such as The New York Times, CNBC, The Wall Street Journal, and the Financial Times, and was recently recognized as one of the Top 50 Startups in the US by LinkedIn.
In 2021, Masterworks achieved unicorn status raising $110M in its Series A fundraising round at a valuation exceeding $1 billion.
Our 200+ employees are based out of our offices at 1 World Trade Center in the Financial District of New York City. With an entirely in-office team, there are endless opportunities for collaboration, innovation, and learning.
Why Masterworks?
If you answered “Yes” to any of the above, we'd love to hear from you!
We're looking for a skilled and proactive Data Engineer with 2–5 years of experience to help build and maintain robust, high-performance data pipelines and infrastructure. This role is ideal for someone who thrives in a fast-paced environment, has deep technical knowledge of Redshift, and is capable of diagnosing and improving SQL query performance. You'll work closely with investment advisors, engineering, product, and analytics teams to ensure the reliability, efficiency, and scalability of our data systems.
Collaborate on data modeling and schema design to support analytics and application needs
Bonus: Experience leading or supporting data platform migrations
Additional Requirements:
Benefits:
How does Masterworks think about compensation?
The compensation range for the role is $120-180k (inclusive only of base salary, and exclusive of other potential competitive benefits such as on-target commission, bonus payments, and equity). Our ranges are very broad to accommodate all types of candidates and encourage growth. Specific compensation offered to a candidate may be dependent on factors such as education, experience, qualifications, and alignment with market data. Exceptional candidates may receive salaries outside of the posted ranges.
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