Data Scientist / Analytics Engineer
Clarity Cubed
- New York, New York, United States
- New York, New York, United States
About
This is a hands‑on hybrid role spanning data engineering, analytics, and system design. You will design and build SQL‑ and Python‑based workflows that ingest, clean, transform, and connect data across systems. You will own pipelines end‑to‑end and help drive analytics on top of them. You will also help build the IP that monitors these ecosystems and drives AI based workflows on top of the structured data sets. You will also have client exposure and the opportunity to shape Clarity Cubed’s internal IP, standards, and approach from the ground up. What You’ll Do
Design, build, and maintain SQL‑ and Python‑based data workflows Develop robust ETL/ELT pipelines and orchestration processes Work extensively with messy, real‑world operational and financial data Model data in Snowflake and similar cloud data warehouses Build secure, reliable connectivity across systems, using APIs exports and manual loads Partner with clients to understand business context and translate it into data solutions Support analytics use cases on top of engineered data sets Contribute to and help shape Clarity Cubed’s internal tools, templates, and best practices Explore and experiment with emerging AI tools as part of the data workflow (interest required; deep ML not required) What We’re Looking For
4–10 years
experience in data science, analytics engineering, or data engineering Strong, hands‑on experience with SQL (advanced queries, modeling, performance) Strong experience with Python for data processing and pipeline development Experience building and orchestrating production data pipelines Familiarity with Snowflake or similar cloud data platforms (preferred) Comfort working across APIs and systems securely Ability to operate independently and own problems end‑to‑end Comfort with ambiguity and early‑stage environments Clear, direct communicator who can work with both technical and non‑technical stakeholders Entrepreneurial mindset and interest in building something from the ground floor Nice to have
Experience with Power BI or other BI tools Exposure to financial or operational data Consulting or client‑facing experience Interest in applied AI tools and workflows How We Work
In‑person team based in Dumbo, Brooklyn Early‑stage, high‑ownership environment Reasonable hours with real responsibility and trust Minimal travel (unless of interest) Direct, plain‑spoken culture with deep practical experience Why This Role Is Different
Work with founders who bring extensive hands‑on business and investing experience Help shape how data is used to drive business at medium sized enterprises You will help use data to bring clarity to business at Clarity Cubed.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.