Artsy’s mission is to expand the art market to support more artists and art in the world. Artsy has created the world’s largest two-sided art marketplace, with more than 1,000,000 works by 100,000 artists from 4,000 of the world’s leading galleries, auction houses, art fairs, and institutions across 190 countries.

We are looking for an experienced Data Engineer to join the team at Artsy, who will help design and develop the pipelines and algorithms that will allow us to build personalized features, surface insights to our users and act on the data flowing through our platform. This can involve challenges in data science, warehousing, natural language processing, and machine learning.

The Engineering team develops innovative solutions to serve all our partners across the art world (galleries, auction houses, fairs) and is focused on making art buying a joyful and safe experience for all collectors.

We are a lean team that relies on Ruby for back-end services, Python for machine learning, Scala for data processing, and SQL for enrichment and analysis. Our stack includes Postgres, Elasticsearch, Redshift, RabbitMQ, Spark, and Hive. We integrate with services like Segment and Looker to accomplish our work, and are always evaluating new patterns, tools, and technologies.

As a data engineer you’ll work on pipelines, databases, and APIs as well as critical services such as search, recommendations, and market insights. You’ll architect systems for scale, and you’ll think about how to keep our complex, distributed platform resilient to data integrity issues or service disruptions. You’ll help structure our data so it’s an invaluable asset in our dynamic business environment.

Responsibilities:

• Some areas you’ll be expected to contribute to in the coming months:
• Ingest and aggregate data from both internal and external data sources to build our world class datasets.
• Develop machine learning models that aid us in ranking, classification, and predictive tasks.
• Develop and scale our recommendations and similarity algorithms.
• Transform the growing body of art market data we’ve collected into meaningful insights about artists, artworks, and trends.
• Design and optimize Elasticsearch queries to enable art collectors to find the work they love instantly.
• Collaborate with other engineers, data analysts, and product managers, taking learning and leadership opportunities that will arise every single day.
• Empower a data-driven culture by making high-volume activity data rapidly available for analysis.

Qualifications:

• Experience with some or all of the following is desirable:
• Building user-facing products powered by data.
• Large-scale data processing or enrichment.
• Hadoop MapReduce technology or similar frameworks.
• Tuning production scale search engines.
• You are knowledgeable about data modeling, data access, and data storage techniques.
• You understand the value of collaboration within teams, and you have experience building relationships with a diverse set of stakeholders.

Preferred, Not Required:

• Data science and machine learning experience in a complex product environment

To Apply:

To apply, please submit your resumé and a cover letter here: https://grnh.se/c2376bd81us