THE ROLE

Sotheby’s Data Engineering team is transforming a 200 year old business by using machine learning, cloud technologies, and real time analytics. Our platform processes multiple types of data including 10+ million images, 1+ billion transactions, and 10+ million objects.  We work with data scientists, business analysts, and software engineers to store, process, and retrieve data. This role will be responsible for building data pipelines, developing new tools, and implementing access controls. 

RESPONSIBILITIES

• Develop new data ingestion pipelines from external and internal API’s using python
• Create data processing, monitoring, and alerting tools for business analysts, data scientists,  and software engineers
• Implement data access controls in GCP using terraform
• Improve system stability and code quality using version control, automated testing, and continuous integration
• Identify, resolve, and prevent failures

IDEAL EXPERIENCE & COMPETENCIES

• Minimum 3 years of work experience
• Bachelor’s degree in a quantitative field or equivalent experience
• Programming experience, preferably in Python and SQL
• Familiarity with cloud development environments such as AWS and GCP
• Understanding of Role Based Access Controls (RBAC)
• Able to use orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm
• Working knowledge of containers
• Willing to learn new programming languages, tools, and frameworks
• Curiosity about problems and a desire to solve them

The proposed base salary for this position ranges from $100,000-$145,000. In addition to base salary successful candidates are eligible to receive a discretionary bonus, as well as a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered.