Senior Geospatial Data Engineer

Job not on LinkedIn

🕒 March 19

🏰 Missouri – Remote

🏰 Missouri – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Object Computing, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Object Computing is a women-owned technology consulting firm, with deep expertise in designing, modernizing, and connecting mission-critical platforms and systems. Working in collaboration with a global technology ecosystem, we partner with our clients to build innovative, sustainable, and impactful systems and software. Learn more at 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.

🎯 Requirements

• 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.