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Senior Data Engineer

Geolava

Geolava

Data Science
United States
Posted on Mar 25, 2026

Senior Data Engineer

At Geolava, we bring AI to the physical world. We are building spatial intelligence systems by leveraging world models to simulate the evolution of the physical world over time. We continuously model real-world dynamics, simulate actions, and forecast their impact on asset value (exposure and upside).

We are backed by top-tier VCs and have been revenue-generating from day one. This is your opportunity to join as a founding team member to help define the future of spatial intelligence from the ground up.

We're looking for a Senior Data Engineer to build and scale the database infrastructure powering Geolava's spatial intelligence products and AI research. You'll own the design, implementation, and scaling of secure, privacy-respecting data pipelines; the foundational layer that makes both our enterprise offerings and cutting-edge research possible.

In this role, you’ll help to build Geolava’s platform strategy from the ground up: designing Python-based pipelines deployed within our AWS ecosystem to handle high-throughput concurrent API requests, architecting DB schemas optimized for geospatial workloads, and building storage and retrieval systems that span structured databases, vector stores, and satellite imagery. You’ll own the infrastructure that ingests, organizes, and processes diverse data types to ensure they perform reliably at scale.

You’ll work closely with product, operations, and analytics as well to develop this data layer into the robust framework that powers the decision-making processes underlying our spatial intelligence.

Responsibilities (What You’ll Do)

  • Drive the technical direction for database solutions used across Product and Research

  • Design and implement database solutions that scale to support millions of users across Claude's product ecosystem

  • Build and scale database systems through 100x+ growth while maintaining reliability and performance

  • Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments

  • Develop database infrastructure that serves both product and research workloads with different performance characteristics

  • Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation

  • Work collaboratively with Platform, infrastructure, application engineers, and AI Researchers to build next-generation data platform products and services

  • Optimize database performance, reliability, and cost efficiency at massive scale

  • Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases

  • Ship high-quality, well-tested, secure, and maintainable code

  • Navigate roadblocks and deliver solutions quickly and iteratively

  • Thrive in a fast-paced, design-driven, product development cycle

Your Background

  • 5+ years of experience (excluding internships/co-ops) in data engineering, building distributed systems and scaling data-intensive systems

  • Expertise in distributed database architectures at scale

  • Experience at a high-growth company building platform infrastructure relied upon by other teams

  • Ability to balance startup speed with production reliability

  • Strong technical leadership and cross-functional collaboration skills

  • Passion for building data layers that enable next-generation AI

Technical Requirements

  • Extensive experience with Python and PySpark (or Spark)

  • Deep expertise in scaling relational and non-relational databases (AWS: Aurora, RDS, DynamoDB, PostgreSQL; GIS experience is a plus)

  • Experience with vector databases and async job processing frameworks

  • Knowledge of database orchestration and automation at scale

  • Experience with security and compliance (ITGC, GDPR, financial controls)

  • Background in data warehousing, ETL/ELT pipelines, and analytics infrastructure for ML pipelines

  • Proven track record improving data reliability, availability, or cost efficiency

  • Security engineering experience focused on data protection and access control

Why Join Geolava?

  • Join a rocketship - pioneers of a new market

  • Play a central, critical role

  • Work with top-tier talent

  • Competitive salary

  • Excellent benefits: medical, dental, vision, 401k, disability, and life insurance

Geolava is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment.

Geolava is an equal opportunity employer with a global remote workforce. Applicants are considered based on qualifications without regard to disability or need for accommodation. Candidates requiring accommodations should contact HR.