Sr. Data Engineer

Versant • Orlando, FL

21h • Remote

About The Position

As a Senior Data Engineer within our Direct-to-Consumer Sports & Entertainment division, you will play a critical role in designing and scaling the data systems that power insights across platforms like Fandango and Rotten Tomatoes. This role sits at the intersection of data architecture, engineering, and business impact—enabling teams to make faster, smarter decisions that shape how millions of fans discover and experience content.

You will help transform complex data into reliable, scalable systems that drive analytics, reporting, and product innovation. Your work will directly influence how we understand customer behavior, optimize experiences, and unlock new opportunities across our digital ecosystem.

This is a remote-first role, with opportunities for intentional in-person collaboration (approximately 10%) to support team connection, planning, and innovation. You will also participate in an on-call rotation supporting production systems.

Requirements

• 7+ years of experience in data warehousing, OLAP systems, and dimensional data modeling
• Strong expertise in SQL (T-SQL or PostgreSQL) and experience with performance tuning and indexing
• Proficiency in Python and experience building data pipelines in modern orchestration tools (e.g., Airflow, AWS Glue)
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP and data warehouses like Redshift
• Experience working with APIs, NoSQL databases, and distributed data systems
• Ability to collaborate with technical and non-technical stakeholders to solve complex business problems

Responsibilities

• Design and build scalable data pipelines, data marts, and warehouse solutions to support analytics and reporting
• Develop and optimize SQL-based data models, schemas, and queries for performance and reliability
• Build and maintain ETL/ELT processes using tools such as Airflow, AWS Glue, and cloud-native services
• Partner with cross-functional stakeholders to translate business needs into technical data solutions
• Troubleshoot and resolve data issues in production environments, ensuring data quality and availability
• Mentor and support other Data Engineers while contributing to best practices and architectural decisions

Benefits

• Competitive compensation and comprehensive benefits package
• Opportunities for growth, learning, and career advancement within a dynamic and evolving organization
• health insurance
• retirement plans
• paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed