Data Platform Engineer (AWS & Python)

Job at a Glance

• Title: Data Platform Engineer (AWS & Python)
• Location: Onsite in Orlando, FL, with one day per week onsite (Tuesdays)
• Contract: W2 only, 6-month contract with potential for extension or full-time conversion with either the client or CEI
• Pay: $80 /hour + optional medical, dental, vision, 401(k) match

Overview

This role involves establishing and enhancing data pipelines within a cloud-based, serverless AWS environment. Candidates will work on setting up a new platform aimed at centralizing and transforming guest data to generate real-time insights, supporting a large-scale data infrastructure across Disney Parks Experience and Products.

Key Responsibilities

• Develop and maintain data pipelines utilizing AWS services such as Lambda, Kinesis, and DynamoDB
• Implement infrastructure-as-code solutions using AWS CDK and Terraform
• Collaborate on integrating multiple data sources, including Kinesis streams, Kafka, and Snowflake
• Support operations with system administration and the development of business logic scripts
• Assist in deploying real-time data streaming and processing solutions for guest data pipelines
• Support deployment of production environments ensuring reliable data distribution to various consumers
• Enable data ingestion, transformation, and distribution, leveraging API endpoints and stream processing

Required Skills

• Proven experience in DevOps practices, including CI/CD pipelines, Docker, testing, and automation
• Strong background in Python development, capable of developing scalable solutions
• Extensive knowledge of AWS, particularly IAM, S3, Kinesis, Lambda, and SNS
• Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, or CDK
• Minimum of 5 years of software development experience across diverse domains, especially data management or distributed systems
• Ability to develop and support system administration tasks alongside software development
• Familiarity with real-time data pipelines, guest data integration, and data distribution methods

Preferred Skills

• Proficiency in at least one of the following languages: Typescript, Java, or other strongly typed languages
• Experience with Snowflake or similar data warehousing solutions
• Understanding of trade-offs between different data storage systems and architectures (e.g., SQL vs NoSQL, data warehouses, partitioning)
• Knowledge of various ingestion patterns, such as Kafka or equivalent streaming services

Call to Action

Candidates with a strong background in AWS, Python, and DevOps practices are encouraged to apply. This is an excellent opportunity to contribute to a vital platform transformation for a globally renowned organization.

About CEI

As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.