Senior Data Platform Engineer - Geospatial & AI Pipelines

Aarden AI; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

In-office days Capitol Hill

Dedicated monthly AI tooling budget

CI/CD and observability focus

Job summary

Aarden AI is seeking a Product-Focused data engineer to maintain and evolve our geospatial data pipeline. You will own the data infrastructure, extend pipelines with new sources, and ensure data quality and product alignment.

You will collaborate with product, ML/analytics, and infra teams to deploy scalable, observable data assets and AI-enabled workflows. Strong Python/PySpark and geospatial experience are essential.

Qualifications

• Strong Python skills and PySpark or similar distributed processing.
• Experience with geospatial data (GeoParquet, PostGIS, Sedona).
• Experience with Apache Iceberg and lakehouse architectures.
• Workflow orchestration (Prefect, Airflow, Dagster).
• Git-based CI workflows and reproducible data pipelines.
• Ability to translate data problems into end-user outcomes.
• Interest in AI and its impact on developer workflows.

Responsibilities

• Modernize and own data pipeline operations and architecture.
• Integrate data with product features and analytics needs.
• Collaborate with ML/analytics to close the data loop from anomaly to prod.
• Build tooling to keep docs, issues, and fixes linked across teams.
• Enhance observability and AI-agent readiness with metrics.

Skills

Python

PySpark

Geospatial data

PostGIS

Apache Sedona

Iceberg

Lakehouse

GeoParquet

Tools

Prefect

Airflow

Dagster

Wherobots

Coiled

Job description

Aarden AI is seeking a Product-Focused data engineer to maintain and evolve our geospatial data pipeline. You will own the data infrastructure, extend pipelines with new sources, and ensure data quality and product alignment.

You will collaborate with product, ML/analytics, and infra teams to deploy scalable, observable data assets and AI-enabled workflows. Strong Python/PySpark and geospatial experience are essential.