Senior Data Platform Engineer
remoterocketship
- New York, New York, United States
- New York, New York, United States
About
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) 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)
Languages
- English
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