Getty Images is looking for a Data Engineer who enjoys working across the entire lifecycle of Machine Learning projects and takes pride in deploying high-quality ML and data workflows.
The mission of the Data Science team at Getty Images Inc. is to leverage internal and third-party data to inform other groups on how to interact with its customer base. We achieve this goal by 1) building automated solutions that apply best-in-class Machine Learning and Engineering practices and 2) continuous interactions with stakeholders to identify critical needs that deliver results relevant to the business.
As a Data Engineer on the Data Science team, you will have end-to-end autonomy and ownership of your projects, and will work closely with other business units to develop creative solutions to a variety of problems.
Your Next Challenge:
You will join a team of highly-collaborative and curious Data Scientists and Data Analysts that are comfortable working with a diverse set of tools, and willing to take initiative on their ideas. As a member of the team, you will have the chance to define the technical architecture that serves as the foundation for upstream analytical projects, and accelerate the delivery of a robust portfolio of Data Science models.
Your primary goal will be to catalyze the development and deployment of full-stack Machine Learning pipelines. You will have the opportunity to continuously develop and ship code in our production environment, and will be empowered to implement a variety of data-centric architectures that support critical operational initiatives.
You will also interact with the entirety of Getty Images Inc. technology stack, and collaborate with data infrastructure, platform and cloud engineers to design and build a production-level data ecosystem that aligns with business function requirements and capable of handling large-scale structured and unstructured data. You will also have the opportunity to continuously evaluate and provide guidance on the use of new technologies.
We value learning and development, and you will be given every opportunity to work on projects that excite you. You will get to lead and innovate as a thought-leader within Getty Images, and will sit at the intersection of Engineering, Marketing and Leadership to inform, influence, support, and execute on our decisions.
What You'll Need:
You have prior experience working as a Data Engineer, preferably in a product or customer-focused organization.
You are extremely comfortable working with Python and have a working knowledge of Cloud services and Tools, as well as standard engineering tools such as Git, Linux and SQL.
You have experience building streaming and batch data pipelines and are comfortable working within a large-scale distributed environment with open source tools such as Hadoop, Hive, Airflow and Spark.
You can independently execute on a project, from ideation to delivery to stakeholders, and can pro-actively interact with other engineers at Getty Images to access necessary resources or data.
You understand, or have interest learning about, the real-world advantages and drawbacks of various Machine Learning techniques, and have applied those to a variety of datasets.
Nice to Have:
A M.S. or Ph.D. in computer science, statistics, economics/econometrics, natural science or any other equivalent quantitative project is preferred. If you are self-taught and believe you are a good fit for this role, or have significant work experience, we would love to hear from you as well.
Previous experience in an analytical role, or experience working with teams of Data Scientists and Data Analysts.
Experience having managed or contributed to the use of Business Intelligence platforms.
Who We Are:
Getty Images is the most trusted and esteemed source of visual content, with over 200 million assets available through its industry-leading sites www.gettyimages.com and www.istockphoto.com. The Getty Images website serves creative, business and media customers in almost every country in the world and is the first place people turn to discover, purchase and share powerful content from the world's best photographers and videographers. Getty Images works with over 200,000 contributors and hundreds of image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography.
For company news and announcements, visit our Press Room. Find iStock on Facebook, Twitter, Instagram and LinkedIn, or download the iStock app where you can easily search, save and share superior images to create standout visual communications.
Getty Images is an equal opportunity employer and strongly supports diversity in the workplace.
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