Staff Data Engineer (Python, LLM, Data Platforms) Remote
Remote (U.S. Only)
$220,000 $240,000 + Full Benefits
About the Opportunity
An international media and digital analytics organization is seeking a Staff Data Engineer (formally titled Staff Engineer Data Engineering) to lead the evolution of its large-scale data platforms.
This is a senior, high-impact individual contributor role focused on data architecture, cross-platform integration, and building LLM-powered data products. Youll work across multiple systems and teams to define long-term architecture and ensure platforms scale reliably in a complex environment.
This is a data engineering and platform architecture rolenot an ML model development position.
Experience in streaming platforms (e.g., Spotify, Netflix, Hulu) or B2B SaaS environments is strongly preferred.
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 large-scale data pipelines (batch and streaming) and data models using Python and modern frameworks
- Develop production-grade Python code for data processing, platform services, and LLM-enabled workflows
- Design and deliver LLM-powered applications and data products
- 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
Required Qualifications- 8+ years of experience in data engineering or data architecture
- Proven experience working in complex, multi-system or multi-team environments
- Strong Python expertise (5+ years of hands-on, production-level development)
- Experience building LLM-powered systems or data-driven AI applications in production
- Deep experience with large-scale data architecture (pipelines, modeling, warehousing)
- Strong communication skills able to clearly articulate architectural decisions
- Demonstrated success mentoring engineers and elevating team performance
Strongly Preferred- Experience in streaming platforms or B2B SaaS environments
- Experience with Snowflake, BigQuery, or similar cloud data warehouses
- Familiarity with Kafka or real-time streaming architecture
- Experience with Kubernetes or containerized environments
- Track record of cross-platform or cross-division data integration
- Passion for mentorship, teaching, and building engineering culture
Technical Environment- Cloud data warehouses (Snowflake, BigQuery, or similar)
- Data processing & orchestration (Spark, Airflow)
- Streaming platforms (Kafka or equivalent)
- Batch and real-time 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: Lead a cross-platform data or LLM-driven 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 strong work-life balance