---

---

Location

San Francisco, CA | United States

---

Job description

Job Summary:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

About The Team & Role

The Big Data Infrastructure team manages big data services such as Hadoop, Spark, Flink, Presto, Hive, etc. Our services are distributed across the data center and Cloud, supporting a large scale of data amount and thousands of physical resources. We focus on the virtualization of big data environments, cost efficiency, resiliency, and performance.  

The right person for this role should have proven experience with working in mission-critical infrastructure and enjoy building and maintaining large-scale data systems with the challenge of varied requirements and large storage capabilities. If you are someone who enjoys building large-scale big data infrastructure, then this is a great role for you!

Responsibilities

• Develop, scale, and improve in-house/cloud and open-source Hadoop-related systems (e.g. Spark, Flink, Presto, HDFS, Hive, Kubernetes, EMR, EKS, Glue, IAM, Terraform, etc).

• Investigate new big data technology, and apply it to the DisneyStreaming production environment.

• Build next-gen cloud-based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability

• Handle architectural and design considerations such as performance, scalability, reusability, and flexibility issues.

• Advocate engineering best practices, including the use of design patterns, code review, and automated unit/functional testing.

• Work together with other engineering teams to influence them on big data system design and optimization.

• Define and lead the adoption of best practices and processes. Colaborate with senior internal team members and external stakeholders to gather requirements and drive implementation

• Collaborate efficiently with Product Managers and other developers to build datastores as a service.

• Collaborate with senior internal team members and external stakeholders to gather requirements and drive implementation.

Basic Qualifications

• At least 7 years of professional programming and design experience

• Experience in building in-house big data infrastructure.

• Experience in developing and optimizing Hadoop-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto, Impala)

• Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ELB, and etc

• Experience in managing a big data cluster with over 1000 nodes.

Preferred Qualifications

• Experience in building in-house big data infrastructure.

• Experience in developing and optimizing Hadoop-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto)

• Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, IAM, ELB, Ranger, KMS, etc

• Experience in managing a big data cluster with over 1000 nodes.

• Experience with big data-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto, Impala, Terraform, EKS, Spinnaker, IAM, EMR, and etc)

Required Education

• BS or MS degree in CS or related major

The hiring range for this position in Santa Monica, California is $149,300 to $200,200 per year, in San Francisco, California is $163,400 to $219,200 per year, and in Seattle, Washington is $156,300 - $209,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

---

Job tags

---

---

Salary