Lead Geospatial Data Engineer (Remote)

We are looking for a Senior Engineer to architect high‑performance spatial data pipelines and lead a technical team. You will handle massive datasets, optimize geometry storage, and build scalable backend logic.

✅ Must Have:

• 4+ Years experience in Data Engineering.
• Core: Python (Pandas, GeoPandas), SQL.
• Spatial DB: PostgreSQL + PostGIS (Must be your second language).
• Experience with Big Data: OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
• Leadership skills (Code review, mentoring, team management).

The Role:

• Position: Lead Data Engineer.
• Location: 100% Remote (Worldwide).

Tasks

• Core: Python (Pandas, GeoPandas), SQL.
• Spatial DB: PostgreSQL + PostGIS (Must be your second language).
• Experience with Big Data: OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
• Leadership skills (Code review, mentoring, team management).

Requirements

• Core: Python (Pandas, GeoPandas), SQL.
• Spatial DB: PostgreSQL + PostGIS (Must be your second language).
• Experience with Big Data: OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
• Leadership skills (Code review, mentoring, team management).

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