Data Engineer

Role & responsibilities

Data Engineer Microsoft Fabric, Sales & Marketing Signals

Experience: 5+ Years

Location: Remote

Project Overview: Build the Fabric data foundation for targeting: coverage universe, engagement signals, call history, trades, a nightly feature table per contact, and outcome/label tables for the feedback loop.

Scope of Work

* Incremental, idempotent pipelines into OneLake: Salesforce, Pardot, website/microsite analytics, FINTRX, trade/position, market data

* Entity resolution across Salesforce, FINTRX, marketing and web, with a review queue

* Nightly feature table (versioned schema), outcome and label tables, daily evaluation report

* Semantic model and Fabric IQ ontology for the sales domain; row-level security by territory and role

* Data quality checks, lineage, Purview registration, capacity tuning

Key Responsibilities

* Own the feature contract and pipelines; publish by 05:00 ET with monitoring

* Pair with the AI engineer on features and labels; tests, documentation, runbooks

Profile

* Must have: Fabric in production (Lakehouse, Delta, pipelines, Spark/Python, SQL endpoint, semantic

models); strong SQL and Python; Salesforce and Pardot data extraction; incremental pipeline design

and data quality testing

* Plus: web analytics data, entity resolution, ML-ready features, Fabric IQ ontology, Purview, Git

deployment for Fabric

* Not a fit: BI-report-only or Purview-configuration-only backgrounds

Preferred candidate profile

Perks and benefits