Backend Engineer – Workflows

CARTO

Backend Engineer joining CARTO's Workflows team to develop spatial analysis workflows. Collaborating with global teams to enhance automated, low-code spatial analytics solutions.

Posted 5/19/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformJavaScriptNode.jsOraclePostgresReactSQLTypeScript

About the role

Key responsibilities & impact

Own the design and evolution of core backend services that power workflow execution, scheduling and orchestration across multiple cloud data warehouses.
Translate visual DAGs into efficient, warehouse-native SQL and procedural code, pushing computation down to where the data lives.
Build and maintain integrations with BigQuery, Snowflake, Databricks, Redshift, Azure Oracle, Postgres and Synapse — including connection management, query execution, error handling and cost/performance optimization.
Extend the component catalog with new analytical building blocks and design the SDK that lets customers and partners contribute their own.
Improve reliability and observability of long-running, scheduled and event-triggered jobs: retries, idempotency, lineage, logging, metrics.
Collaborate closely with Product, Frontend, Data Engineering and QA to ship features end-to-end, from API design to UX behavior.
Integrate AI tools pragmatically throughout your development workflow — not as a checkbox, but as a genuine productivity multiplier in how you design, build, and test.

Requirements

What you’ll need

5+ years of backend engineering experience shipping production systems at scale.
Deep database expertise with at least one of our primary warehouses: BigQuery, Snowflake, Redshift, Databricks or Oracle. You can read an execution plan, spot a bad join, and reason about partitioning, clustering and cost before the query hits production.
Experience with TypeScript and Node.js in a production backend context.
Nice to have: frontend fluency. You can move fluidly into a React/TypeScript codebase to own a feature end-to-end, unblock yourself on API contract issues, or quickly prototype UI for new components.
Comfort in a serverless and cloud-native environment, with practical experience with GCP or AWS.
Hands-on experience building with AI. You've already shipped features powered by LLMs, embeddings, agents or AI-assisted tooling in production — not just experimented on the side.
Strong opinions about software quality. You write tests not because you're told to but because you've seen what happens when you don't. You document what matters and keep it current.
A collaborative, low-ego approach to engineering. You give direct feedback in code reviews, ask good questions when you don't know something, and make the people around you better.

Benefits

Comp & perks

- Compensation based on experience, discussed transparently during the process plus an annual bonus of up to 10% based on company objectives
- Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients
- Access to our Employee Stock Options Plan
- Private Medical Insurance
- Flexible compensation
- Education stipend
- Remote work stipend
- English classes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

backend engineeringSQLTypeScriptNode.jsAI toolsdatabase expertisequery optimizationserverless architecturecloud-native developmentproduction systems

Soft Skills

collaborationcommunicationfeedbackproblem-solvingsoftware qualitydocumentationlow-ego approachprototypingend-to-end ownershipquestioning