Data Engineer II

$102,500 - $137,500/Yr

Unclassified - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

About the position

At Disney Entertainment & ESPN Technology, we are dedicated to reimagining the way audiences experience our beloved stories through innovative technology. Our Product & Data Engineering team plays a crucial role in this mission, focusing on the end-to-end development of Disney's consumer-facing products, including popular streaming platforms like Disney+, Hulu, and ESPN+. We are committed to delivering exceptional digital experiences across various platforms, including Apple, Android, Smart TVs, game consoles, and the web. Our work involves powering core functionalities such as personalization, search, messaging, and data analytics, ensuring that millions of consumers enjoy seamless access to their favorite content every day. As a Data Engineer II, you will be instrumental in the success of our marketing initiatives by designing and building data pipelines that measure key performance indicators, such as marketing spend and conversion rates. You will collaborate with various teams, including business, analytics, and infrastructure, to identify data sources, design table structures, and define ETL strategies. Your contributions will help us maintain high operational efficiency and quality in our data solutions, supporting our commitment to our customers and stakeholders. In this role, you will also be responsible for maintaining detailed documentation of your work to support data quality and governance. You will work closely with Data Product Managers, Data Architects, and other Data Engineers to implement and deliver successful data solutions that align with our business objectives. Your expertise will help shape the future of Disney's media business, ensuring that we continue to innovate and enhance the viewing experience for audiences around the world.

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.

Requirements

• 2+ 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 Databricks.
• Familiarity with Scrum and Agile methodologies.
• Problem solver with strong attention to detail and excellent analytical and communication skills.

Benefits

• Bonus and/or long-term incentive units may be provided as part of the compensation package.
• Full range of medical, financial, and/or other benefits, dependent on the level and position offered.