Data Engineer

DataJobs; Lake Buena Vista (FL); On-site; USD 107,000 - 143,000; Full time

Job summary

Disney Decision Science and Integration (DDSI) is seeking a data engineer to build and maintain data pipelines and systems powering analytics and AI solutions at Lake Buena Vista. You will collaborate across business, science, and technology teams to design ETL processes and deploy scalable data solutions using PostgreSQL, Snowflake, Airflow, and cloud tools.

A strong grounding in Python, SQL, and GenAI will help drive impactful data products.

Qualifications

• 3+ years of experience in technology roles, preferably in data engineering.
• Strong experience developing and maintaining ELT/ETL data pipelines.
• Experience with source-to-target mapping.
• Proven expertise with Python and SQL.
• Familiarity with GenAI concepts and tools, including LLMs, embeddings, and prompt engineering.
• Ability to understand business domains to support data requirements gathering and solution design.
• Experience in Dev, QA, Prod environments and using DevOps practices for code deployment.
• Strong understanding of database and data warehouse design.
• Proficiency with PostgreSQL or Snowflake.
• Experience managing code with GitLab or GitHub.
• Ability to communicate complex ideas to non-technical stakeholders.
• Proven capability to collaborate in a multi-team environment.

Responsibilities

• Deliver data pipelines across development, sustainment, ad-hoc requests, prototyping, and research.
• Partner with business, science, and technology teams to clarify scope and data needs.
• Design and implement data pipelines that support analytics, visualizations, and applications.
• Develop, enhance, and deploy systems for advanced analytic data solutions.
• Perform data aggregation and manipulation so datasets are usable by science models, visualizations, and applications.
• Use GenAI tools to improve efficiency and deliver AI-based solutions.
• Explore and integrate GenAI tools and techniques into data engineering workflows to enhance automation.
• Build understanding of business domain processes and apply that knowledge to deliverables.

Skills

Python

SQL

GenAI concepts

DevOps practices

Communication with non-technical Stake

Collaboration in multi-team env

Education

Bachelor's degree in CS/IS/Engineering or equivalent

Tools

PostgreSQL

Snowflake

GitLab

GitHub

Apache Airflow

Docker

Kubernetes

AWS

Databricks

LangChain

OpenAI

AWS Bedrock

Job description

The Data Engineering team at Disney Decision Science and Integration (DDSI) builds and maintains data pipelines and systems that power advanced analytics and AI-based solutions.

Responsibilities

• Deliver data pipeline and data engineering services across development, sustainment, ad-hoc requests, prototyping, and research initiatives
• Partner with business, science, and technology teams to clarify scope, requirements, and data needs across the Disney company
• Design and implement data pipelines that support analytics, visualizations, and application use cases
• Develop, enhance, and deploy systems for advanced analytic data solutions
• Perform data aggregation and manipulation so datasets are usable by science models, visualizations, and applications
• Use GenAI tools to improve efficiency and deliver AI-based solutions
• Explore and integrate GenAI tools and techniques into data engineering workflows to enhance automation and analytical capabilities
• Build understanding of business domain processes and apply that knowledge to assigned deliverables

Requirements

• 3+ years of experience in technology roles, preferably in data engineering
• Strong experience developing and maintaining ELT/ETL data pipelines
• Experience with source-to-target mapping
• Proven expertise with Python and SQL
• Familiarity with GenAI concepts and tools, including LLMs, embeddings, and prompt engineering
• Ability to understand one or more business domains to support data requirements gathering and solution design
• Experience working in multiple environments (Dev, QA, Prod) and using DevOps practices for code deployment and promotion
• Strong understanding of database and data warehouse design
• Proficiency with data platforms such as PostgreSQL or Snowflake
• Experience managing and deploying code using source control such as GitLab or GitHub
• Ability to formulate solutions and communicate complex technical ideas to non-technical stakeholders
• Proven capability to collaborate in a multi-team environment

Technologies

• ELT, ETL, Python, SQL
• LLMs, embeddings, prompt engineering
• PostgreSQL, Snowflake
• GitLab, GitHub, DevOps
• Apache Airflow
• OpenAI, LangChain, AWS Bedrock
• Vector databases, RAG (Retrieval-Augmented Generation) architectures
• API development
• Docker, Kubernetes
• AWS, Databricks

Desired Qualifications

• Understanding of vector databases or RAG (Retrieval-Augmented Generation) architectures
• Experience with analytic systems
• Experience working with GenAI APIs or frameworks, such as OpenAI, LangChain, and AWS Bedrock
• Knowledge of theme parks, streaming, merchandise, or related business domains
• Experience working with large datasets and big data technologies such as Snowflake, Databricks, or similar
• Demonstrated proficiency with API development
• Experience with data orchestration tools such as Apache Airflow
• Knowledge of cloud architecture and product offerings, preferably AWS
• Experience leveraging containerization technologies such as Docker or Kubernetes

Education

• Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study and/or equivalent work experience

Location: Lake Buena Vista, FL (onsite)

Salary: USD 106,900 - 143,300 per year