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Lead Geospatial Data Engineer (Remote)
Job summary
A leading tech company is seeking a Senior Engineer to architect high-performance spatial data pipelines and lead a technical team. Responsibilities include handling massive datasets and optimizing geometry storage. The ideal candidate will have over 4 years of experience in Data Engineering, strong Python and SQL skills, and familiarity with PostgreSQL + PostGIS. This position is 100% remote.
Qualifications
- 4+ years of experience in Data Engineering.
- Must have strong knowledge of Python (Pandas, GeoPandas) and SQL.
- Experience with PostgreSQL + PostGIS as a second language.
- Familiarity with OLAP Databases (ClickHouse, BigQuery) for massive datasets.
Responsibilities
- Lead a technical team to build high-performance spatial data pipelines.
- Handle massive datasets and optimize geometry storage.
- Build scalable backend logic.
Skills
Tools
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).
- 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).
- 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 salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.