Backend Engineer, Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 16%

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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AccelOne

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏗️ Construction

💰 $100k Seed Round on 2021-11

Consulting • Healthcare • Construction

AccelOne is your trusted partner for building secure, scalable technology solutions designed to transform businesses and drive growth. They offer a comprehensive approach that spans from strategy to delivery, focusing on planning, building, and running innovative digital solutions. Their services include AI, data, and custom software development tailored to industries such as Real Estate, Fintech, Healthcare & Pharma, and Construction & Development. AccelOne prides itself on providing expert guidance, ensuring seamless integration and strong communication, and empowering businesses for lasting success through secure, scalable, and efficient solutions.

📋 Description

• Develop, maintain, and support backend and data processing systems using Python • Work daily with core processing systems and large-scale geospatial imagery • Build and maintain reliable data processing workflows and pipelines • Process, transform, and manage geospatial data and imagery • Apply hands-on GIS knowledge to support geospatial data processing and analysis • Work with photogrammetry and/or image-processing workflows • Collaborate with engineering and data team members to develop and improve processing solutions • Troubleshoot data-processing and backend issues and contribute to system reliability • Support the scalability and performance of systems handling large volumes of geospatial data • Contribute to the continued improvement of engineering and data-processing practices

🎯 Requirements

• Strong professional experience in backend engineering and/or data engineering • Strong proficiency in Python • Hands-on professional experience with GIS and geospatial data • Experience with photogrammetry and/or image processing • Experience working with geospatial imagery • Experience developing or maintaining data-processing systems or pipelines • Ability to work with large-scale datasets and processing workflows • Strong analytical and problem-solving skills • Ability to work effectively within a collaborative engineering environment • Availability to join the project as soon as possible • Nice to have: Strong hands-on experience with AWS • Nice to have: Experience building or supporting cloud-based data-processing systems • Nice to have: Experience working with large-scale geospatial imagery processing • Nice to have: Experience optimizing data pipelines or processing systems for performance and scalability • Nice to have: Previous experience working with distributed engineering teams