About the Role

We're looking for a data
engineer to join a data team responsible for acquiring, normalizing, and
standardizing real estate and property market data. That data powers a suite of
consumer- and agent-facing products, including reporting tools, maps, charts, and
widgets embedded on other websites.

What You'll Work On

•
Ingesting and normalizing real estate market data,
including MLS feeds (Multiple Listing Service data, the standard source of
property listing information used across the real estate industry), along with
related third-party data sets.

•
Building and maintaining ETL pipelines (Extract,
Transform, Load: pulling raw data from its source, cleaning and reshaping it,
then loading it into a system others can use) that feed reporting, mapping, and




visualization products.

•
Partnering with product engineering teams to support
data-driven features and consumer-facing visualizations.

What We're Looking For

•
A data engineering background, with pipeline and ETL
experience, plus normalization and standardization work on real-world, messy
data sets.

•
Comfortable owning problems end-to-end, even when the
specification isn't fully worked out ahead of time.

•
An AI-native workflow: comfortable using tools like
Claude Code or Codex as part of day-to-day development.

📌 Data Engineer (Colombia)
🏢 StratifyIQ
📍 Colombia