Senior Software Engineer – Spatial Analytics, Open Formats

🕒 August 4

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Logo of CARTO

CARTO

51 - 200 employees

Founded 2012

📦 Logistics

💼 Consulting

🏥 Healthcare

Logistics • Consulting • Healthcare

CARTO is a leading platform in modern spatial analytics built for the cloud. It provides businesses with advanced tools for analyzing, visualizing, and developing spatial data at unlimited scales, utilizing major cloud platforms such as BigQuery, Snowflake, Databricks, and Azure. CARTO offers a wide range of capabilities including data visualization, powerful analytics with a visual workflow design tool, and enriched data through a variety of industry solutions. They also provide AI-powered spatial insights to boost productivity, along with accelerated, scalable app development using their APIs and development toolkit. CARTO’s platform is particularly valuable for sectors such as telecommunications, logistics, real estate, financial services, and healthcare, assisting in tasks like network deployment, market analysis, and fraud detection. It is trusted by leading companies across the globe for cloud-native analytics without limits.

📋 Description

• Shape how the Analytics Toolbox framework is packaged, versioned, and deployed across partner engines and AI-agent consumers • Set the strategy for SQL execution across BigQuery, Snowflake, Redshift, Databricks, Postgres, and Oracle • Define CARTO’s spatial-first Iceberg and open-format direction • Represent CARTO in OGC working groups, Cloud Native Geospatial communities, FOSS4G, conferences, and standards work • Help define the interface for AI agents using the Analytics Toolbox • Shape the technical direction of the Workflows team and broader Spatial Analytics group • Write strategy documents and ship production code that proves the strategy

🎯 Requirements

• Significant career experience in the cloud-native geospatial world • Experience building with or shaping DuckDB, GeoParquet, STAC, Arrow, Iceberg, point cloud formats, MobilityDB, or similar • Advanced SQL knowledge at the engine level • Ability to read execution plans across BigQuery, Snowflake, Redshift, and Databricks • Understanding of partitioning, clustering, file pruning, pushdown, and cost for spatial workloads • Production experience shipping LLM-powered features • Experience with agentic patterns and a perspective on their impact on analytics • Visible community participation through talks, maintained open-source projects, standards working groups, or influential technical writing • Low-ego technical leadership and production-code development experience • Experience in cloud-native, serverless environments on GCP or AWS • TypeScript / Node.js experience is a plus, not a primary hiring requirement

🏖️ Benefits

• Annual bonus of up to 10% based on company objectives • Employee Stock Options Plan • Private Medical Insurance • Flexible compensation • Education stipend • Remote work stipend • English classes • Compensation based on experience, discussed transparently during the process

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