Remote Data Jobs · AWS

• Build and enhance cloud-based data tools and reporting systems.
• Develop robust, scalable data pipelines.
• Leverage emerging AI tools to accelerate development.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

Design, implement, and maintain robust data pipelines and transformation workflows. Work with cloud data warehouses, orchestration tools, and modern ETL frameworks. Collaborate with cross-functional stakeholders to standardize best practices.

• Build and enhance cloud-based data tools and reporting systems.
• Develop robust, scalable data pipelines.
• Leverage emerging AI tools to accelerate development.

• Manage and optimize database systems hosted on Amazon Web Services (AWS).
• Collaborate with the DevOps team to implement infrastructure as code using Terraform.
• Ensure the performance, reliability, and security of all database environments.

• Manage and optimize database systems hosted on Amazon Web Services (AWS).
• Collaborate with the DevOps team to implement infrastructure as code using Terraform.
• Ensure the performance, reliability, and security of all database environments.

Responsible for designing, building, and maintaining scalable data infrastructure that empowers the organization to access, process, and analyze information efficiently. Works closely with data science, IT, and business teams to optimize cloud-based solutions, automate data pipelines, and ensure real-time data availability. Hands-on experience with modern data technologies is emphasized, and focuses on data quality, efficiency, and reliability.

As a Data Engineer II, you will be working on our data systems and services with other data engineers to deliver projects and systems critical to Fandango's business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for fellow movie fans.

Collect and organize data for regulatory analytical needs, maintain databases, and apply analytical frameworks to assist regulatory landscape analysis. Develop innovative solutions to collect, monitor, analyze, and report on data governance and privacy requirements. Collaborate with IT and cross-functional stakeholders to optimize procedures and support research activities.

Own the database architecture for a multi-tenant SaaS, designing schemas, and defining migration/versioning strategies for safe, zero-downtime releases. Raise the performance ceiling with indexing, partitioning and query tuning. Build for reliability by setting RTO/RPO targets; design backup, PITR, DR, and blue/green rollout patterns. Embed security & compliance with encryption, least-privilege access and HIPAA-aligned controls.