United States onlyAs a Sr. Data Engineer, you will architect, design, and build data solutions that power analytics, insights, and personalization across Fandango's digital platforms. You'll lead complex data initiatives, mentor junior engineers, and ensure that our data infrastructure is scalable, efficient, and resilient.
Requirements
- Architect, design, and develop scalable data pipelines, data lakes, and data warehouses (AWS Redshift, S3, Glue, EMR) to support analytics and product intelligence.
- Lead the design of ETL/ELT frameworks and data models (relational and dimensional) to power reporting, dashboards, and data-driven applications.
- Build and optimize PySpark, Python, and SQL workflows for large-scale batch and streaming data processing.
- Orchestrate workflows using Airflow or AWS MWAA and implement data ingestion from APIs, third-party sources, and internal microservices.
- Implement data quality, validation, and observability frameworks across all data pipelines.
- Partner with data scientists, analysts, and product teams to ensure high-quality, well-modeled data for analytics and ML use cases.
- Drive best practices in version control, testing, CI/CD, and infrastructure as code (Terraform).
- Troubleshoot, tune, and optimize database performance; create indexes and partitioning strategies to improve query efficiency.
- Support production data systems, ensuring reliability and timeliness of data delivery.
- Mentor other data engineers, contributing to design reviews, code quality, and operational excellence.
- Report progress and blockers to leadership, and collaborate with cross-functional IT and infrastructure teams.
Benefits
- Paid Time Off
- 401k Matching
- Health Insurance
- Dental Insurance
- Vision Insurance
