Senior Geospatial Data Engineer

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🕒 il y a 4 mois

🏰 Missouri – Distant

🏰 Missouri – Remote

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Object Computing, Inc.

Site WebLinkedInTous les Emplois

201 - 500 employés

💼 Conseil

🤖 Intelligence artificielle

Consulting • Artificial Intelligence

Object Computing est une société de conseil technologique détenue par des femmes, spécialisée dans la conception, la modernisation et la connexion de plateformes et de systèmes essentiels. En collaboration avec un écosystème technologique mondial, nous nous associons à nos clients pour construire des systèmes et logiciels innovants, durables et impactants. En savoir plus sur objectcomputing.com.

Description

• Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience. • Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data. • Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products. • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication. • Translate complex analytics and business questions into actionable, production-grade data solutions. • Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products. • Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure). • Ensure data quality, integrity, and security across all stages of the data lifecycle. • Mentor and provide technical guidance to junior data engineers and team members. • Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership. • Proactively recommend and implement improvements to existing data infrastructure and software programs. • Stay current with industry trends and emerging technologies in geospatial data engineering.

🎯 Exigences

• Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data. • Experience building solutions with Python. • Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation. • Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure). • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka. • Experience integrating with API-driven, service-to-service web services. • Demonstrated ability to lead projects, mentor team members, and drive technical decisions. • Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively. • Excellent organizational, interpersonal, and communication skills.