Data Engineer
Core
Design and deliver data pipelines and advanced analytic data solutions to enable data-driven decision-making for Disney Entertainment, ESPN, and Corporate Finance.
Role type
Data Engineer (GenAI integration)
Builds
Data pipelines, data aggregation systems, and AI-based solutions for business applications
Domain
Entertainment, Media, Streaming, Theme Parks
Deliverable
production ML models | product features
Required skills
ELT/ETL pipeline development, Python, SQL, GenAI tools (LLMs, embeddings, prompt engineering), database and data warehouse design, DevOps procedures, source control (GitLab/GitHub), cloud platforms (PostgreSQL, Snowflake)
Preferred skills
Vector databases, RAG architectures, analytic systems, GenAI APIs (OpenAI, LangChain, AWS Bedrock), big data technologies (Databricks), API development, data orchestration (Apache Airflow), containerization (Docker, Kubernetes)
Technologies
Python, SQL, PostgreSQL, Snowflake, GitLab, GitHub, AWS, Databricks, Apache Airflow, Docker, Kubernetes, OpenAI, LangChain, AWS Bedrock
Responsibilities
Develop and maintain data pipelines for advanced analytics; aggregate and manipulate data for science models and visualizations; leverage GenAI tools to enhance automation and analytical capabilities; design data solutions based on business domain understanding; deploy code across Dev, QA, and Prod environments using DevOps procedures
Seniority
Mid-level, hands-on IC
