Senior Data Engineer

Job Summary Our client, a leading entertainment and hospitality company, is seeking a Senior Data Engineer to join their team! This is a 12-month contract opportunity supporting a large-scale enterprise data modernization initiative focused on developing scalable data pipelines, enhancing cloud-based platforms, and leveraging modern AI-assisted development practices. The ideal candidate is a highly technical, hands-on engineer with deep Python and SQL expertise, experience supporting enterprise-scale data environments, and strong collaboration skills.

This position is based in Orlando, FL, with local candidates preferred for onsite collaboration in the Celebration area. Remote candidates will also be considered. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

• Design, develop, enhance, and maintain large-scale ETL/ELT data pipelines using Python and SQL
• Build, automate, and monitor data workflows using Apache Airflow and cloud-based technologies
• Develop scalable data solutions supporting enterprise analytics, business applications, and revenue optimization initiatives
• Process and transform large datasets, including billions of records, while ensuring data quality, reliability, and performance
• Collaborate with architects, developers, and business stakeholders to gather requirements and translate business needs into technical solutions
• Develop and integrate APIs, contribute to data architecture and modeling discussions, and support deployments across multiple environments
• Leverage Generative AI and AI-assisted development tools to improve engineering productivity, code quality, and delivery efficiency

• 5+ years of technology experience with advanced, hands-on Python and SQL development expertise
• Extensive experience designing, developing, and maintaining complex ETL/ELT pipelines in large-scale enterprise environments
• Hands-on experience with Apache Airflow for data workflow orchestration, scheduling, and monitoring
• Experience building cloud-based data solutions using AWS or Microsoft Azure
• Experience processing, transforming, and managing large-scale datasets across enterprise data platforms
• Experience with API development, data integration, and database or data warehouse design
• Strong communication and stakeholder engagement skills, including the ability to gather requirements and collaborate across technical and business teams

• Experience with Snowflake for cloud data warehousing and data transformation
• Experience with Databricks, Apache Spark, or comparable big data technologies
• Experience leveraging Generative AI and AI-assisted development tools to accelerate software development
• Familiarity with LLMs, RAG architectures, vector databases, or GenAI frameworks such as AWS Bedrock or Lang Chain
• Experience supporting enterprise-wide modernization initiatives or large-scale technology transformation projects
• Experience with Git Hub, Git Lab, CI/CD pipelines, and Dev Ops deployment practices
• Familiarity with Docker, Kubernetes, Infrastructure as Code, or containerized cloud environments

• Strong analytical thinking and technical problem-solving capabilities
• Excellent communication skills and ability to translate business requirements into technical solutions
• Collaborative, personable approach with strong stakeholder relationship-building skills
• Ability to take ownership and deliver scalable solutions in fast-paced, cross-functional environments
• Adaptability and enthusiasm for modern development tools and emerging technologies

• Location:
  
  Orlando, FL preferred
• Work Arrangement:
  Onsite collaboration in the Celebration, FL…