Staff Data Engineer (Python, AI/ML) - REMOTE

Staff Data Engineer (Python, AI/ML) – Remote Location: Remote (U.S. Only) Compensation: $220,000 – $240,000 per year + full benefits About the Opportunity An international media and digital analytics organization is seeking a Staff Data Engineer to help lead the evolution of its data platforms and AI capabilities. This is a senior, high-impact technical role focused on large-scale data architecture, cross-platform integration, and AI/LLM-driven product development. You’ll work across multiple teams to shape long-term architecture, drive innovation, and ensure systems scale effectively as the organization grows. Key Responsibilities Design and own scalable, cross-platform data architecture across complex systems Lead integration of data platforms to enable unified insights and product capabilities Build and optimize data pipelines (batch + streaming) and data models at scale using Python and modern data frameworks Develop and maintain production-grade Python code for data processing, automation, and AI/ML workflows Drive development and deployment of AI/ML and LLM-powered features Establish best practices for data modeling, pipeline design, and system observability Mentor engineers and raise the technical bar across teams Translate business needs into clear, scalable architectural decisions Contribute to architecture reviews, roadmap planning, and on-call support for production systems Required Qualifications (Must-Have) 8+ years of experience in data engineering or data architecture Proven experience working in complex, multi-system or multi-team environments Strong Python expertise (hands-on, production-level development) Experience building AI/ML or LLM-based solutions in production Deep experience with large-scale data architecture (pipelines, modeling, warehousing) Strong communication skills — able to translate complex technical concepts clearly Demonstrated success mentoring engineers and elevating team performance Strongly Preferred Experience with Snowflake, BigQuery, or similar cloud data warehouse platforms Familiarity with Kafka, Kubernetes, or real-time streaming infrastructure Experience with cross-division or cross-company data/platform integration initiatives Passion for mentorship, teaching, and contributing to engineering culture—not just individual delivery Technical Environment Cloud data warehouses (Snowflake, BigQuery, or similar) Data processing & orchestration (Spark, Kafka, Airflow, or equivalent) Batch and streaming data pipelines Cloud-native / containerized environments (Kubernetes a plus) What Success Looks Like First 90 days: Deliver an architectural assessment and identify integration opportunities 6 months: Advance or deliver a cross-platform data or AI initiative 12 months: Own the data architecture roadmap and mentor multiple engineers Benefits Medical, Dental, and Vision coverage 401(k) with company match Generous paid parental leave Flexible work schedule + unlimited PTO Monthly stipends (home office, internet, wellness) Annual company event Collaborative culture with a strong work-life balance #J-18808-Ljbffr