Staff Data Engineer (Python, LLM, Data Platforms) – Remote
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About the Company:
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. You’ll 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 role—not an ML model development position. Experience in streaming platforms (e.g., Spotify, Netflix, Hulu) or B2B SaaS environments is strongly preferred.
About the Role:
- 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 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 Required Skills
- 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 PTOMonthly stipends (home office, internet, wellness)
- Annual company event
Collaborative culture with strong work-life balance Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.