Job Title: Data Engineer
Location: Greater New York Area (Hybrid)
About the Opportunity
Join a rapidly scaling organization to build, modernize, and maintain critical data infrastructure. In this role, you will partner closely with operational and finance leaders to craft automated workflows, deliver reliable analytics models, and empower data-driven decisions across the enterprise.
Responsibilities
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Architect, scale, and maintain robust ETL/ELT pipelines to support cross-functional analytics needs.
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Implement production-grade data transformations and structured models tailored to specialized departmental workflows.
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Partner with internal stakeholders, including finance teams, to align data pipelines with core operational goals.
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Monitor system performance, optimize pipeline latency, and ensure strict data governance and reliability.
Requirements
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Strong core technical foundation in Python and SQL for complex data manipulation.
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Practical background constructing modular data transformation pipelines using dbt.
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Proven experience managing and scheduling orchestration workflows with Apache Airflow.
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Capability to adapt data solutions across diverse business and operational units.
Preferred Qualifications
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Prior experience integrating, extracting, or modeling data from NetSuite or similar enterprise systems.
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Familiarity with financial data structures, accounting metrics, or operational business models.
Compensation & Benefits
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Competitive compensation and a comprehensive benefits package commensurate with experience.
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Equal Opportunity Employer.
