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Data Engineer; Python, AI/ML – REMOTE
Remote / Online - Candidates ideally in
Winooski, Chittenden County, Vermont, 05404, USA
Listed on 2026-06-04
Winooski, Chittenden County, Vermont, 05404, USA
Listing for:
Nerdleveltech
Remote/Work from Home
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
Data Engineer, AI Engineer
Job Description & How to Apply Below
Staff Data Engineer (Python, AI/ML) – Remote
Location:
Remote (U.S. Only)
Compensation: $220,000 – $240,000 per year + full benefits
About the OpportunityAn 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
- 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
- Experience with Snowflake, Big Query, 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
- Cloud data warehouses (Snowflake, Big Query, or similar)
- Data processing & orchestration (Spark, Kafka, Airflow, or equivalent)
- Batch and streaming data pipelines
- Cloud-native / containerized environments (Kubernetes a plus)
- 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
- 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
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