Senior Data Platform Engineer

Hybrid (San Francisco, CA / Montreal, QC) or Remote (US or Canada)

EV.Careers is currently seeking a full-time Senior Data Platform Engineer for one of our partners — a fast-growing data intelligence company that ingests, structures, and enriches large, fragmented datasets, transforming them into high-quality, decision-ready data products embedded directly into how leading companies in the EV and EV-charging industry operate. In this role, you will architect and scale the data and AI platform end-to-end, working alongside the founding team to build pipelines, data models, and AI-powered systems that deliver real-world impact for customers — at a pivotal moment as the company evolves from a data platform into a fully AI-powered data engine.

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

Required Qualifications

• 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)

Preferred Qualifications

• 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

Benefits

• Competitive base salary: $145,000 – $175,000
• Stock options: 0.25%–0.40%, depending on experience and scope
• Medical and dental coverage: up to 100% covered for the employee, 75% for dependents
• 401(k) plan
• 3 weeks paid time off (4 weeks for Canada-based employees)
• 1 company-wide soft close (1 week) during the winter holidays
• Annual company retreat
• Access to an amazing office in the heart of San Francisco's Jackson Square (for SF-based employees)
• Financial incentives to electrify your commute (EV or e-bike)

We are an equal opportunity employer committed to fostering a diverse and inclusive workplace where everyone feels valued and respected.