Data Engineer , NY

We deliver larger engagements with a small, vetted bench of independent contractors. Work is remote, project-based, and led by our principal architect.

Roles we work with

• SQL Server or Oracle
• dbt
• Python
• Airflow or Dagster
• Banner or another SIS/ERP (preferred)

Builds semantic models and leadership dashboards from approved definitions.

• SSAS Tabular or Power BI semantic models
• DAX
• Tabular Editor

Runs definition workshops, writes KPI dictionaries, and documents what we build.

• Higher-ed reporting (IPEDS, state, accreditation)
• Facilitation
• Clear technical writing

How engagements work

• Remote, U.S.
  
  -based, with occasional client meetings by video
• Part-time and flexible; most assignments run a few weeks to a few months
• A master services agreement and NDA before any client work
• Victor leads every engagement and reviews all work before it reaches the client

What we look for

Purpose before platform You care what the work is for, not only which tool it uses.

Engineering discipline Version control, tests, and documentation are part of the job, not extras.

Plain language You can explain a data model to a dean and a definition to an engineer.

Discretion Student and staff data, and client names, stay private. Always.