Data Engineer, Content Planning & Analysis

Seattle /
Creative – Creative Content /
Full-time
Who We Are:
For 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action. Getty Images moves the world, whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving.
 
Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world, with over 405 million assets available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries 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 330,000 contributors and 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. Getty Images is a world leader in visual content. With over 405 million assets, of which over 285million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.
 
We are inclusive of different voices, perspectives and experience. We believe diversity is critical to our mission to objectively reflect the world we live in and allow our customers to illustrate that world. This means including a diverse range of voices in our content, actively pursuing diversity in our team and sources of content and listening to our customers to make sure we are as open and responsive as possible.

Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply. 

Who You Are: 
The Content team at Getty Images is looking for a Data Engineer to join our
dedicated Content Planning & Analysis team. This exceptional individual will be a
member of a small team of Data Engineers, Data Scientists, and Data Analysts who
play a vital role as the data engine room behind the Content group’s projects,
initiatives, and decision-making.

Your Next Challenge:
The hire will be responsible for expanding and optimizing our data and data pipeline
architecture, as well as optimizing data flow and collection for the Content
organization. The ideal candidate is an experienced data pipeline builder and data
wrangler who enjoys optimizing data systems and building them from the ground
up. The Data Engineer will support our software engineers, database architects,
data analysts and data scientists on data initiatives and will ensure optimal data
delivery architecture is consistent throughout ongoing projects. They must be self-
directed and comfortable supporting the data needs of multiple teams, systems,
and products. The right candidate will be excited by the prospect of optimizing or
even re-designing our company’s data architecture to support our next generation
of products and data initiatives.

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional
business requirements.
Identify, design, and implement internal process improvements: automating
manual processes, optimizing data delivery, re-designing infrastructure for
greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL and AWS ‘big
data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable
insights into customer acquisition, operational efficiency, and other key
business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design
teams to assist with data-related technical issues and support their data
infrastructure needs.
Keep our data separated and secure across national boundaries through
multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist
them in building and optimizing our product into an innovative industry
leader.
Work with data and analytics experts to strive for greater functionality in our
data systems.

What You'll Need:
 
Advanced working SQL knowledge and experience working with relational
databases, query authoring (SQL) as well as working familiarity with a variety
of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures,
and data sets.
Experience performing root cause analysis on internal and external data and
processes to answer specific business questions and identify opportunities for
improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata,
dependency, and workload management.
A successful history of manipulating, processing, and extracting value from
large, disconnected datasets.
Working knowledge of message queuing, stream processing, and highly
scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic
environment.
 
 
We are looking for a candidate with 3+ years of experience in a Data Engineer or other highly analytical role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another
quantitative field.
 
They should also have experience using the following
software/tools:
 
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
· 
Experience with data pipeline and workflow management tools:
Azkaban, Luigi, Airflow, etc.

Experience with AWS cloud services: EC2, EMR, RDS, Redship
Experience with stream-processing systems: Storm, Spark-Streaming,
 Experience with object-oriented/object function scripting languages:
 Python, Java, C++, Scala, etc

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life. 
 
For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.
 
Find Getty Images on FacebookTwitterInstagramLinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery. 
 
Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.