GIS Developer & Data Pipeline Architect (ArcGIS + AI)

BravoTECH; Houston (TX); In loco; USD 110.000 - 165.000; Tempo pieno

Descrizione del lavoro

BravoTECH seeks a Senior GIS Developer to build and run data pipelines and administer ArcGIS Enterprise across land, wells, production, and operations data. The role develops custom automations and alerts to support multiple business units.

You will lead ETL processes with FME, Python, SQL, and API integrations, and help shape the Snowflake data sharing and AI-enabled workflows to improve data insight and productivity.

Competenze

• 5+ years of professional experience in enterprise GIS administration, data engineering, and GIS development.

Mansioni

• Build, schedule, and maintain ETL processes using FME, Python, SQL, APIs, and DuckDB that pull data into SQL Server, enterprise geodatabases, and Portal.
• Administer ArcGIS Enterprise platform, including upgrades, patches, and data store management; ensure uptime.
• Lead ArcGIS Enterprise service management, publishing, configuration, and lifecycle management of Portal services.
• Administer SQL Server enterprise geodatabases, including user access, compression, statistics, and migrations; evaluate PostgreSQL options.
• Monitor platform health with ArcGIS Monitor; tune configurations and lead outage recovery.
• Partner with IT on server/VM architecture, capacity planning, and OS/SQL Server patching.

Conoscenze

Advanced Python (ArcPy, ArcGIS API for

Data engineering

Enterprise GIS administration

Stakeholder communication

Strumenti

SQL Server

PostgreSQL

FME

ArcGIS Data Interoperability

ArcPy

ArcGIS API for Python

ArcGIS Monitor

WebGISDR

DuckDB

Snowflake Cortex

Power Automate

Survey123

Field Maps

Windows Server

Descrizione del lavoro

BravoTECH seeks a Senior GIS Developer to build and run data pipelines and administer ArcGIS Enterprise across land, wells, production, and operations data. The role develops custom automations and alerts to support multiple business units.

You will lead ETL processes with FME, Python, SQL, and API integrations, and help shape the Snowflake data sharing and AI-enabled workflows to improve data insight and productivity.