Data Engineer II

The Walt Disney Company • New York, NY

2d • Onsite

About The Position

Disney Entertainment and ESPN Product & Technology is seeking a Data Engineer II to join the Commerce Data Pipelines team. This role is crucial for establishing foundational data pipelines and datasets that enable engineering and analytical teams to leverage data for key business decisions. The team focuses on expanding, scaling, and standardizing core data principles through consistent observability, lineage, data quality, logging, and alerting, aiming for a single pane of glass view. The team is looking for enthusiastic individuals to make a positive impact.

Requirements

• 3+ years of data engineering experience developing large data pipelines.
• Strong algorithmic problem-solving expertise.
• Strong fundamental Scala and Python programming skills.
• Basic understanding of AWS or other cloud provider resources (S3).
• Strong SQL skills and ability to create queries to analyze complex datasets.
• Hands-on production environment experience with distributed processing systems such as Spark.
• Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
• Some scripting language experience.
• Willingness and ability to learn and pick up new skillsets.
• Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
• Bachelor’s Degree in Computer Science, Information Systems or equivalent industry experience.

Nice To Haves

• Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query).
• Experience in developing APIs with GraphQL.
• Deep Understanding of AWS or other cloud providers as well as infrastructure as code.
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
• Familiar with Scrum and Agile methodologies.

Responsibilities

• Contribute to maintaining, updating, and expanding existing Commerce Data platform data pipelines in Scala and Python / Spark while maintaining strict uptime SLAs.
• Extend functionality of current Commerce Data platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization.
• Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform.
• Implement shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization.
• Collaborate with product managers, architects, and other engineers to drive the success of the Commerce Data platform.
• Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and more.
• Ensure high operational efficiency and quality of the Commerce Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams).
• Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team.
• Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements.
• Maintain detailed documentation of your work and changes to support data quality and data governance requirements.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level