Data Engineer

Disney Experiences is seeking a Data Engineer to design, build, and oversee AWS-based ingestion pipelines and data solutions for structured and unstructured data in Orlando, FL.

Responsibilities

• Design and develop AWS & Snowflake data pipelines
• Create and support data views, including assistance with architecture decisions, deployment, and feedback cycles
• Develop and support data solutions using AWS services such as CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2
• Debug and troubleshoot issues across a broad technical stack
• Act with product ownership and strong business support within an enterprise theme park related environment
• Collaborate with business partner groups across Disney Parks and Resorts to implement optimal technical solutions
• Provide data and system analysis required for feature engineering
• Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets

Requirements

• 3+ years of Data Engineering or similar experience, including support for SQL in a data warehouse environment
• Strong knowledge of Python and object-oriented programming concepts
• Solid experience with Snowflake native objects including:
  • SnowPipe
  • External/internal stages
  • External tables
  • Integration objects
  • Stored procedures (Snowflake Scripting)
  • Stream & task
  • Data masking
  • Time travel
  • Cloning
• Experience designing scalable dimensional and analytical data models for enterprise reporting, self-service analytics, and data product consumption
• Ability to translate business requirements into scalable data solutions and curated datasets
• Experience building data pipelines and complex data transformations
• Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/deployment tools
• Working knowledge of Data Build Tool (DBT)
• Experience working in an Agile/Scrum development environment
• Strong conceptual understanding of security at rest and in transit for big data pipelines
• Strong troubleshooting and problem-solving skills to analyze and resolve data and system issues
• Hands-on implementation experience for data pipelines and data models within established architectural frameworks
• Strong systems and data analysis skills, including experience with testing in the data space
• Experience with CI/CD pipelines and source control tools such as GitHub

Technologies

• AWS
• Snowflake
• SQL
• Python
• S3
• Glue
• MSK
• Redshift
• Spark
• CDK
• CloudFormation
• Kinesis
• Lambda
• SQS
• SNS
• EC2
• SnowPipe
• External/internal stages
• External tables
• Integration objects
• Stored procedures (Snowflake Scripting)
• Stream & task
• Data masking
• Time travel
• Cloning
• Data Build Tool (DBT)
• Agile/Scrum
• CI/CD pipelines
• GitHub

Preferred Qualifications

• Experience with Airflow or other workflow orchestration tools
• Experience supporting real-time data processing workloads
• Familiarity with data governance, metadata management, and data lineage concepts
• Exposure to machine learning or analytics use cases
• Experience working with large-scale cloud-based data platforms

Benefits

• Health and savings benefits
• Educational opportunities
• Special extras that only Disney can provide

Role Details

• Location: Orlando, FL (onsite)
• Salary: USD 101,800 - 136,500 per year
• Education: Bachelor’s degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field
• Compensation notes: Base pay may vary based on internal equity, geographic region, job-related knowledge, skills, and experience. A bonus and/or long-term incentive units may be provided in addition to medical and/or other benefits depending on level and position offered
• #DXMedia
• #LI-SS3

About the Role

• Work on design, building, and oversight of technology architecture, solutions, and software to capture, manage, and utilize structured and unstructured data
• Build data ingestion pipelines and distributed workloads inside AWS
• Implement, troubleshoot, and optimize distributed solutions using big data technologies including SQL, S3, Glue, MSK, Snowflake, and Redshift
• Design syndicated and curated data views for reporting, analytics, and advanced applications
• Use technical expertise and mathematical concepts to address challenging programming problems
• Collaborate effectively within a team environment in an agile/scrum context