Senior Data Engineer

Senior Data Engineer

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you'd love working here:

• Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Job Summary

The Senior Data Engineer will contribute to the Company's success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring key performance indicators like spend and conversions for the marketing campaigns. Collaborating across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy & automated Data Quality checks.

Responsibilities

• Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data.
• Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments
• Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
• Help define technical requirements and implementation details for the underlying data warehouse and data marts
• Maintain detailed documentation of your work and changes to support data quality and data governance
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers

Basic Qualifications:

• A minimum of 5 years of data engineering experience.
• Proven experience with at least one major RDBMS (SQL Server, MySQL or Oracle).
• 1+ years of experience with programming languages (e.g. Python, Pyspark).
• 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred
• Strong SQL skills and ability to create queries to extract and build tables
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
• Familiarity with Amazon s3 and/or ETL using D atabricks
• Familiarity with Scrum and Agile methodologies
• You are a problem solver with strong attention to detail and excellent analytical and communication skills.
• Bachelor's Degree in Computer Science, Information Systems, or related field or equivalent work experience.

The hiring range for this position in Burbank, CA or New York, NY or Seattle, WA or Bristol, CT is $141,900 - $199,400 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.