Sr Data Engineer

Walt Disney; Santa Monica (CA); On-site; USD 138,000 - 187,000; Full time

Job summary

An innovative company is seeking a Senior Data Engineer to join their dynamic team. In this role, you'll be at the forefront of building and maintaining critical data products that serve as the backbone for customer identification and device data. You'll leverage your expertise in big data technologies to enhance existing systems and contribute to groundbreaking projects that impact millions of users. This is an exciting opportunity to work in a collaborative environment, where your contributions will help shape the future of media and entertainment technology. If you're passionate about data and eager to make a difference, this role is perfect for you.

Benefits

Medical Benefits

Financial Benefits

Flexible Work Hours

Employee Discounts

Retirement Plans

Qualifications

• 5+ years in big data engineering with large data pipelines.
• Experience with distributed systems and processing large datasets.
• Strong skills in Python, Scala, and SQL.

Responsibilities

• Build and maintain Identity and Device data products.
• Collaborate with teams to understand requirements and articulate decisions.
• Mentor junior Data Engineers and improve team productivity.

Skills

Big Data Engineering

Python

Scala

SQL

Hadoop

Databricks

Data Modeling

Data Warehousing

AWS S3

Problem Solving

Education

Bachelor's degree in Computer Science

Tools

Spark

Presto

Hive

Airflow

Terraform

Snowflake

Redshift

Big Query

Job description

Job Posting Title:

Sr Data Engineer

Req ID:

10115651

Job Description:

Disney Entertainment & ESPN Product & Technology

On any given day at Disney Entertainment & ESPN Product & Technology (DEEP&T), 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.

The Product & Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.

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.

This role involves building and maintaining our Identity and Device Data products. These products serve as a comprehensive source of truth for customer identifiers and their devices. The role requires senior-level knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data.

Responsibilities

• Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings

• Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency. Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Participate in code reviews and as well as on-call support roster.

• Promote and support Agile methodologies such as Scrum, and Kanban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.

• Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.

• Serve as a senior resource to other Data Engineers on the team, and mentor junior members of the team helping to improve their skills, knowledge, and productivity.

Basic Qualifications

• 5+ years of related big data engineering experience modeling and developing large data pipelines

• Hands-on experience with distributed systems such as Hadoop or Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.

• Strong Python, Scala and SQL skills processing big datasets

• Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)

• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

• Operational experience in multi-system/services production environment as senior data engineer and point-of-contact / SME

• Problem solving skills with strong attention to detail and excellent analytical and communication skills

• Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD

• Solid experience with AWS S3

Preferred Qualifications

• Demonstrated ability with cloud infrastructure technologies, including Terraform

• Experience with:Snowflake, Databricks, Airflow, AWS

Required Education

• Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Additional Information

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year, in Seattle, WA is $145,400 to $195,000 per year, and in New York, NY is $145,400 to $195,000 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.

Job Posting Segment:

Commerce, Data & Identity

Job Posting Primary Business:

PDE - Data Platform Engineering

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - CA - Market St, USA - NY - 77 West 66th St, USA - WA - 925 4th Ave

Date Posted:

2025-03-11