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Data Analytics Engineer at Rebar | New York City

RebarNew York City
On-site Full-time

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Experience Level

Entry Level

Qualifications

Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proficient in Python, skilled in SQL, and experienced with Data Warehousing. Demonstrated experience handling large datasets and solving ambiguous problems. Proficient in writing modular, testable code and experienced in version control. Ability to create meaningful metrics and evaluation frameworks from scratch. Experience in data visualizations and dashboard development.1–3 years in analytics engineering, data science, or product analytics with production data systems. Strong communication skills for presenting insights to diverse audiences.

About the job

About Rebar
Rebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.

As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.

This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

  • Proficient in Python, skilled in SQL, and experienced with Data Warehousing.

  • Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.

  • Proficient in writing modular, testable analytics code and familiar with version control environments.

  • Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.

  • Experience in building data visualizations and dashboards.

  • 1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.

  • Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.

Responsibilities

  • Design and develop data-driven product features utilizing Rebar’s historical datasets.

  • Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.

  • Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

About Rebar

Rebar is pioneering the operating system for commercial HVAC, Electrical, and Plumbing suppliers, utilizing AI to enhance quoting processes. Our innovative approach aims to reshape the industry by providing critical measurement and evaluation tools for suppliers across North America.

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