PFF Careers
Senior Data Engineer
Remote (United States) · Senior
Sponsorship not specifiedDetected 23 days ago
Distributed SystemsPostgreSQLData EngineeringLeadershipCommunicationCollaboration
About the role
- Our exclusive player grades, advanced metrics, and tools fuel winning decisions for NFL and college teams, broadcasters, fantasy players, bettors, and fans alike.
- Scale Data Delivery: Introduce advanced PostgreSQL strategies including robust indexing, partitioning, caching, and replication to ensure high-throughput and low-latency access for client-facing APIs and internal tools.
Responsibilities
- Lead the Architectural Redesign: Analyze and re-architect the existing highly-normalized PostgreSQL database, driving the transition to a modern, high-performance analytical data model.
- Optimize for Performance: Redesign schemas, balancing normalization with analytical read efficiency.
- Strategically apply denormalization, materialized views, and dynamic queries to support high-speed data access.
- Data Pipeline Excellence: Design, implement, and maintain scalable data pipelines and ETL/ELT frameworks across distributed systems to ensure data reliability and freshness.
Requirements
- Must be proactive, articulate, and comfortable managing technical scope and expectations with leadership and product stakeholders.
Nice to have
- Prior professional experience working with data systems in sports analytics, betting, or digital media.
- Experience operating within a globally distributed team spanning the US and UK time zones.
- A pragmatic, hands-on approach: a willingness to dive into legacy schema cleanup while simultaneously designing future-state systems and leading by example.
- Act as a subject matter expert, guiding the engineering team on best practices for data modeling, query optimization, and architectural decisions.
- Skills & Experience 5+ years of experience as a Senior Data Engineer, Database Architect, or equivalent role in high-scale, read-heavy data systems.
- Expert-level proficiency in PostgreSQL schema design, optimization, and performance tuning (e.g., query planning analysis, configuration tuning).
- Proven track record of successfully re-architecting complex, highly normalized OLTP systems into efficient OLAP/analytical data warehouses.
- Deep practical knowledge of advanced database concepts including indexing strategies, partitioning, caching mechanisms, and replication patterns.
Skills
- About PFF PFF is a leading sports analytics company that transforms complex football data into powerful insights.
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