Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop platforms for data reliability and observability in a fast-paced environment.
- Company: Join Disney Entertainment & ESPN, where we create magical viewing experiences for millions worldwide.
- Benefits: Enjoy competitive pay, bonuses, and a range of medical and financial benefits.
- Why this job: Make a significant impact on data-driven decisions that affect millions while working with cutting-edge technology.
- Qualifications: 5+ years in data pipelines, expertise in big data tech, and proficiency in programming languages like Python and Java.
- Other info: Collaborate with a driven team passionate about solving tough challenges in the media industry.
The predicted salary is between 100000 - 140000 £ per year.
On any given day at Disney Entertainment & ESPN Product & 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 Product & Technology:
- Building the future of Disney’s media business: Our 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.
The Data Reliability Engineering team for Disney’s Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment’s big data platform, which processes hundreds of terabytes of data and billions of events daily.
Job Summary: The Senior Software Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company’s revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment.
Responsibilities:
- Assist in designing and developing a platform to support incident observability and automation. This team will be required to build high quality data models and products that monitor and reports on data pipeline health and data quality.
- Work closely with all members of the Data Reliability Engineering team to set project deliverables, review design documents, perform code reviews and help mentor junior members of the team.
- Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure.
- Build out observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely.
- Build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance.
Basic Qualifications:
- 5+ years of experience working on mission critical data pipelines and ETL systems.
- 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake.
- Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages.
- Experience with workflow orchestration tools such as Airflow.
- Detailed problem-solving approach, coupled with a strong sense of ownership and drive.
- A passionate bias to action and passion for delivering high-quality data solutions.
- Deep understanding of end-to-end pipeline design and implementation.
- Attention to detail and quality with excellent problem solving and interpersonal skills.
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
Preferred Qualifications:
- Masters Degree in a related field, and/or related certification/s.
- Strong data visualizations skills to convey information and results clearly.
- Experience with DevOps tools such as Docker, Kubernetes, Jenkins, etc.
- Experience with event messaging frameworks like Apache Kafka.
Senior Software Engineer, Data Reliability employer: Disney Cruise Line - The Walt Disney Company
Contact Detail:
Disney Cruise Line - The Walt Disney Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Data Reliability
✨Tip Number 1
Familiarise yourself with Disney's core values and mission. Understanding how your role as a Senior Software Engineer aligns with their goal of creating magical experiences will help you articulate your passion during interviews.
✨Tip Number 2
Network with current employees or alumni who work at Disney Entertainment & ESPN Product & Technology. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in big data technologies and tools, especially those mentioned in the job description like AWS, Hadoop, and Snowflake. Being able to discuss recent advancements or projects can set you apart.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data pipelines and ETL systems.
We think you need these skills to ace Senior Software Engineer, Data Reliability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data pipelines, ETL systems, and big data technologies. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data reliability and how your skills align with Disney's mission. Mention specific projects or experiences that showcase your problem-solving abilities and technical expertise.
Showcase Technical Skills: Clearly list your proficiency in programming languages like Python, Scala, and Java, as well as your experience with tools such as AWS, Hadoop, and Airflow. Provide examples of how you've used these skills in past roles.
Prepare for Technical Questions: Anticipate technical questions related to data pipeline design and implementation. Be ready to discuss your approach to problem-solving and how you would handle real-world scenarios in data reliability.
How to prepare for a job interview at Disney Cruise Line - The Walt Disney Company
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with big data technologies like AWS, Hadoop, and Snowflake. Highlight specific projects where you've successfully implemented data pipelines or ETL systems, as this will demonstrate your hands-on experience and problem-solving skills.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams, share examples of how you've collaborated in past projects. Discuss your experience in mentoring junior team members and how you’ve contributed to a positive team environment.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Prepare to walk through your thought process on how you would approach designing a reliable data pipeline or resolving an incident. This will showcase your analytical skills and attention to detail.
✨Communicate Clearly and Concisely
As you'll need to present insights to various levels within the company, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to communicate effectively, which is crucial for the role.
