Senior Software Engineer - Data Capture Team

$136,038 - $182,490/Yr

Disney - New York, NY

Full-time - Mid Level

New York, NY

Motion Picture and Sound Recording Industries

About the position

The Lead Software Engineer for the Data Capture team at Disney Entertainment & ESPN Technology will play a crucial role in establishing core platform frameworks and pipelines that enable engineering and analytical teams to leverage data for business decisions. This position focuses on expanding, scaling, and standardizing foundational principles such as observability, data quality, and logging, which are essential for the success of the largest streaming service. The role involves collaboration with various stakeholders to enhance the Data Capture platform and ensure operational efficiency and reliability.

Responsibilities

• Contribute to maintaining, updating, and expanding the existing Data Capture platform including the Spark data pipelines while maintaining strict uptime SLAs.
• Extend functionality of current Data Capture 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.
• Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization.
• Collaborate with product managers, architects, and other engineers to drive the success of the Data Capture platform.
• Lead the 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 Data Capture 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.
• Provide mentorship and guidance for team members; evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption.

Requirements

• 5+ years of software engineering experience developing backend applications.
• 2+ 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 orchestration systems such as Airflow.
• 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.

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.
• Master's Degree a plus.

Benefits

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