Job Requirements

Department/Group Overview: The Data Platform & BI Engineering team sits within Disney Entertainment and ESPN Product & Technology’s Ad Platforms organization. The team builds and operates the data and analytics platforms that power Disney’s Converged, Linear, and Addressable advertising businesses, and delivers the self-serve BI and insights dashboards, reporting portals, and measurement pipelines that give stakeholders across the company visibility into advertising performance, revenue, and delivery across Disney’s media properties, including Hulu, Disney+, ESPN, and ABC.

Job Summary:

We are seeking a skilled and passionate Product Development Engineer II to join our Data Platform & BI Engineering team as a Full Stack Engineer. In this role, you will design and build custom analytics and BI dashboards end-to-end — from backend data services and APIs (Java/Spring Boot or Python) to dashboard-facing front-end applications (React/Angular/Vue) — backed by wellmodeled data in Snowflake and orchestrated via Airflow. You will bring a strong analytics and BI quotient, translating business and reporting needs into scalable, high-performance insights products.

Bonus: Experience in Ad Tech, particularly Linear or Addressable Advertising, is a strong plus. Good to have: Experience with Databricks (Unity Catalog, Delta Lake) and Apache Spark is a plus, but not required.

Responsibilities and Duties of the Role:

Design, build, and support custom analytics and BI dashboards end-to-end — both backend data services and front-end UI — using modern front-end frameworks (React, Angular, or Vue) and backend services (Java/Spring Boot or Python).

● Design and build data pipelines and workflows using Python and Airflow to feed dashboard, reporting, and self-serve analytics datasets (Spark/Databricks experience a plus).

● Design and expose RESTful APIs and microservices that connect BI dashboards and front-end applications to underlying data platforms.

● Collaborate with Data Scientists, Analysts, BI developers, and Product partners to deliver wellmodelled datasets and production-grade dashboard products.

● Improve system observability across pipelines and applications by implementing metrics, monitoring, and alerting.

● Develop robust unit and integration tests, perform code reviews, and champion clean-code, automated-testing, and agile best practices.

● Mentor and support teammates through code reviews, documentation, and informal guidance (no direct reports).

● Participate in on-call rotations as part of the team’s commitment to operational excellence.

● Contribute to documentation and reusable code/component libraries for the BI platform, and use approved AI-assisted engineering tools in line with company policy.

Required Education, Experience/Skills/Training: Basic Qualifications

● 2-5 years of hands-on software/data engineering experience, preferably with a digital media or digital advertising company.

● Proven experience building custom analytics/BI dashboards end-to-end, spanning both backend data services and front-end visualization layers — this is a must-have for the role.

● Proficiency in at least one backend language such as Java (Spring Boot) or Python, and one modern front-end framework such as React, Angular, or Vue.

● Strong SQL experience, including writing and optimizing complex queries against distributed data stores such as Databricks, Snowflake, Hive, Presto, or Aurora.

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow.

● Experience with RESTful APIs, microservices, and distributed systems.

● Strong background in relational databases (MySQL, Postgres), including schema and query design.

● Strong analytics and BI quotient — ability to translate business and reporting questions into effective data models and visualizations.

● Experience delivering products in an agile software development environment, including sprint work in Jira.

● Experience working with large datasets (terabytes or more).

● Strong analytical, communication, and cross-team collaboration skills, with the ability to explain complex concepts to both technical and non-technical audiences.

Preferred Qualifications

● Experience with Databricks (Unity Catalog, Delta Lake) and Apache Spark for large-scale data processing — good to have, not required.

● Experience in Ad Tech, particularly Linear, Addressable, or Programmatic advertising.

● Experience with data streaming technologies such as Apache Kafka or AWS Kinesis.

● Experience with cloud platforms, particularly AWS (S3, EMR, Glue, Lambda). ● Experience with modern DevOps tools such as Docker, Kubernetes, and Terraform.

● Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD).

● Strong presentation and documentation skills, including experience with Confluence, PowerPoint, and Lucid Chart.

Required Education

● Bachelor’s degree in Computer Science, Data Analytics or Science, Applied Mathematics, Statistics, a related technical field, or equivalent experience.

This position is with Disney (India) Private Limited, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

To learn more about Disney's guidelines on the use of AI for candidates, click here.

Having technical issues? View the FAQs for help.