remote
Enterprise Data Engineer System Engineer - Esri
Data Engineer
Design, deploy, and optimize secure enterprise data platforms for mission‑critical geospatial applications, leveraging cloud, on‑premises, and hybrid environments with a focus on performance, scalability, and reliability.
About the role
Key Responsibilities
- Architect and implement enterprise‑grade data solutions that support ArcGIS‑driven geospatial systems for national‑security missions.
- Design, build, and maintain robust relational and spatial databases, ensuring high availability and optimal performance.
- Develop and automate ETL pipelines using Python and SQL to ingest, transform, and validate large geospatial datasets.
- Deploy and manage cloud infrastructure (AWS, Azure) and hybrid environments, applying best‑practice security and compliance controls.
- Collaborate with system engineers, analysts, and mission stakeholders to troubleshoot issues and continuously improve system reliability.
Requirements
- 5+ years of experience in data engineering or system engineering, preferably with geospatial or GIS workloads.
- Strong proficiency in Python, SQL, and data modeling for relational and spatial databases.
- Hands‑on experience with cloud platforms (AWS, Azure) and hybrid/on‑premises deployments.
- Familiarity with ArcGIS, GIS data formats, and geospatial analytics.
- Demonstrated ability to design secure, scalable, and high‑performance data pipelines in mission‑critical environments.