Data Engineer

Chelsea TechnologiesNew York, NY
Onsite

About The Position

The Data Engineer serves as a consultative technology partner to the business, responsible for designing, building, and optimizing data and automation solutions that improve operational efficiency, reporting accuracy, and decision-making across the organization. This role exercises independent judgment and advanced technical expertise while working directly with senior stakeholders.

Requirements

  • 5+ years of experience in data engineering, automation, or business-facing technical roles.
  • Advanced experience with relational databases (e.g., Azure SQL) and data transformation tools.
  • Experience implementing business process automation platforms.
  • Strong communication skills and ability to work with senior stakeholders.

Nice To Haves

  • Experience in Private Equity, financial services, or regulated environments
  • Experience with Power BI reporting environments
  • Exposure to enterprise AI/ML implementations
  • Experience supporting executive-level stakeholders

Responsibilities

  • Partner with business stakeholders to identify automation and data optimization opportunities.
  • Translate business requirements into scalable technical architecture and solutions.
  • Architect, build, and optimize structured data pipelines and reporting environments using Azure SQL, Power Query, and related data technologies.
  • Implement and manage automation platforms in collaboration with vendors or internal teams, including Power Automate, Monday.com, Workato, and Power BI.
  • Experiment with AI tools such as ChatGPT and Microsoft Copilot to identify practical, scalable use cases.
  • Assess feasibility, limitations, and risks of AI-driven solutions, escalating mature ideas to specialized tools or applications when appropriate.
  • Promote responsible, compliant, and business-aligned use of AI across workflows.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service