EV.CareersRemote
Senior Data Platform Engineer
United States of America
Full Time
3 weeks ago
$145,000 - $175,000 USD
No H1B
Key skills
PythonSQLAIMLLLMRAGLangChainLlamaIndexData EngineeringAnalytics
About this role
EV.Careers is currently seeking a full-time Senior Data Platform Engineer for a fast-growing data intelligence company that transforms fragmented datasets into high-quality data products. In this role, you will architect and scale the data and AI platform end-to-end, building pipelines and data models that deliver impact for customers in the EV industry.
Responsibilities:
- Design and scale end-to-end pipelines to collect, standardize, and enrich complex, high-volume datasets
- Convert messy, real-world data into clean, structured products ready for decision-making
- Take full ownership of data quality, ensuring accuracy, completeness, and timeliness at all times
- Develop data models and outputs that serve as the foundation for customer-facing analytics and reporting
- Leverage AI to streamline and enhance how data is sourced, managed, and verified
- Work hand-in-hand with the founding team and customers to prioritize and guide product direction
- Play an active role in shaping the AI and data stack as technologies and best practices continue to evolve
- Travel occasionally for team off-sites and company-wide retreats
Requirements:
- 5–10 years of experience in data engineering, backend engineering, or similar roles with a data focus
- Proven track record in building and scaling production-grade data pipelines
- Strong proficiency in Python, SQL, and working with large datasets
- Experience applying AI/ML tools within data systems or workflows
- Comfort working with ambiguous, messy, real-world data
- Strong product instincts — you think about how data is used, not just built
- Ability to operate independently in a fast-moving, early-stage environment
- Existing authorization to work in the United States or Canada (visa sponsorship is not available)
- EV or EV-charging industry knowledge — familiarity with charger hardware (Alpitronic, BTC Power, Tritium, ABB, etc.) or adjacent EV data domains (CPO operations, NEVI, fleet telematics) is a strong plus
- Experience defining or influencing technical architecture
- Track record turning unstructured data into product-grade insights
- Background in early-stage or high-growth environments (seed through Series A/B)
- Comfort with LLM tooling, including LangChain, LlamaIndex, vector databases, RAG pipelines, MCP servers, and evaluation frameworks
- ML experience is a plus, though not required