Senior Software Engineer, Data Reliability

Disneyland Hong Kong; Seattle, San Francisco, New York, Santa Monica (WA, CA, NY, CA); On-site; USD 142,000 - 192,000; Full time

Job summary

An innovative company is seeking a Senior Software Engineer to enhance data reliability across its vast media platforms. In this pivotal role, you will be instrumental in developing solutions that ensure high-quality data pipelines, impacting millions of users. You will collaborate with various engineering teams to optimize performance and implement cutting-edge observability techniques. If you are passionate about data-driven decision-making and enjoy tackling complex challenges in a collaborative environment, this opportunity is perfect for you. Join a team that values creativity and innovation in shaping the future of entertainment.

Benefits

Medical benefits

Financial benefits

Flexible work hours

Professional development opportunities

Employee discounts

Wellness programs

Qualifications

• 5+ years of experience with mission critical data pipelines and ETL systems.
• Hands-on experience with big data technologies and tools.
• Expertise in software engineering languages and ability to learn new ones.

Responsibilities

• Design and develop platforms for incident observability and automation.
• Collaborate with teams to improve big data pipeline infrastructure.
• Build solutions for software release and change management.

Skills

Python

Scala

Java

SQL

AWS

Hadoop

Hive

Snowflake

Airflow

Problem-solving

Education

Bachelor's degree in Computer Science

Master's degree in related field

Tools

Docker

Kubernetes

Jenkins

Apache Kafka

Job description

Senior Software Engineer, Data Reliability

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

#DISNEYTECH

工作概要:

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

#DISNEYTECH

The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year, in Glendale, California is $136,038 to $182,490 per year, in Seattle, Washington is $142,516 to $191,180 per year, in New York City, NY is $142.516 to $191,180 per year, and in San Francisco, California is $149,000 to $199,000 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.

其他資訊:

DISNEYTECH

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