Senior Geospatial Data Engineer

🕒 March 19

🏰 Missouri – Remote

🏰 Missouri – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Object Computing, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🤖 Artificial Intelligence

Consulting • Artificial Intelligence

Object Computing, Inc. is a women-owned technology consulting firm that specializes in software engineering services, training, and development. The company has expertise in open source technologies, machine learning, IoT, blockchain, and artificial intelligence, including generative AI. Object Computing collaborates with a global technology ecosystem to design, modernize, and connect mission-critical platforms and systems, focusing on building innovative, sustainable, and impactful solutions for its clients.

📋 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.