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Join at the ground floor and shape your role, the culture, and the company as we grow

About the position:

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 have direct client exposure and the opportunity to shape Clarity Cubed’s internal IP, standards, and approach from the ground up.

Requirements:

Experience: 4+ Years of Professional Experience.

Type: Full-Time position.

Location: Brooklyn, NY (On Site).

Your role:
Clarity Cubed's logo

Design and build SQL- and Python-based workflows for data ingestion and transformation.

Own data pipelines end-to-end to drive actionable business analytics and insights.

Build internal IP that monitors ecosystems and drives AI-based workflows on structured datasets.

Ingest, clean, transform, and connect complex data across various disparate systems.

Collaborate directly with clients to shape internal standards and engineering approaches.

About the position:

This role will support live client engagements and work directly on building structured, decision-ready datasets from messy real-worldsystems. You will operate across multiple projects, help reconcile operational data to financials, and contribute to the development of repeatable processes and internal intellectual property.

You will have exposure to client leadership teams andinvestors, while developing the skills to take on greater value creation responsibility over time

Requirements:

Experience: 5+ Years of Professional Experience.

Type: Full-Time position.

Location: Brooklyn, NY (On Site).

Your role:

Support client engagements focused on data cleanup, reconciliation, and analysis

Work across large datasets to structure and validate information

Reconcile operational data to financial statements and management reporting

Help build recurring reporting frameworks and data models

Identify inconsistencies, gaps, and areas for improvement in client data environments

Operate across multiple projects with urgency and strong organization

Contribute to the development of scalable workflows and internal playbooks

As you grow, you will have the opportunity to take on more ownership in client workstreams and contribute directly to value creation initiatives