Senior Software Engineer – Spatial Analytics, Open Formats

CARTO

Senior Software Engineer defining CARTO’s cloud-native spatial analytics, SQL, and open-format strategy. Shaping AI-agent execution across warehouses, lakehouses, and geospatial standards.

Posted 8/4/2026full-timeRemote • 🇪🇸 SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud-native geospatial technologies and advanced SQL execution strategies, with a strong focus on production code development and community engagement. Capable of shaping technical direction and strategy for spatial analytics and AI integration.

Highest-signal resume keywords

Cloud-Native Geospatial ExperienceAdvanced SQL KnowledgeProduction Code DevelopmentCommunity ParticipationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL ExecutionDuckDBGeoParquetSTACArrowIcebergMobilityDBExecution Plan AnalysisLLM-Powered FeaturesAgentic Patterns

Soft Skills

Low-Ego Leadership

Tools & Technologies

BigQuerySnowflakeRedshiftDatabricksPostgresOracleGCPAWSTypeScriptNode.js

Industry Keywords

Spatial WorkloadsCloud-NativeServerless EnvironmentsFOSS4GOGC Working GroupsStandards Work

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudGoogle Cloud PlatformJavaScriptNode.jsOraclePostgresSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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