Senior Data Engineer - Geospatial Data & AI Pipelines

Aarden; Seattle (WA); In loco; USD 150.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Dedicated monthly AI tooling budget

Descrizione del lavoro

Aarden is seeking a senior data engineer to own and evolve our core datasets and the data pipeline that keeps them current. You’ll ensure data quality, reliability, and have a direct impact on our user-facing products.

You’ll work with Python/SQL and modern lakehouse tech on AWS, maintaining pipelines with Prefect, Airflow, and Dagster. Collaborate across product and analytics to scale the platform from Seattle.

Competenze

• Owned the operation of one or more production data pipelines for a continuous period of at least 12 months.
• Experience with relational databases and lakehouse architectures.
• Strong Python skills; Experience with workflow orchestration (Prefect, Airflow, Dagster, or similar).
• Curiosity about AI and the impact it can have on our ways of working as developers.
• Comfort working in a git-based, CI-friendly workflow.
• Minimum of 5 years of professional experience.

Mansioni

• Own and operate the data platform and ensure reliability of data infrastructure (S3, Iceberg, Postgres, Lambda, PMTiles, raster datasets).
• Monitor, troubleshoot, and improve pipeline performance, observability, and data quality.
• Extend pipelines to support new data sources and transformations.
• Use automation and AI-assisted workflows to improve reliability and efficiency.
• Collaborate with product to build datasets that support new features and with analytics to co-develop intelligence products.
• Keep pipeline and dataset documentation current.

Conoscenze

Python

SQL

Data pipelines

Prefect

Airflow

Dagster

PostgreSQL

PostGIS

Geospatial

CI/CD

Formazione

Bachelor's degree in Computer Science

Strumenti

Coiled

Wherobots

Apache Sedona

GDAL

PySpark

DuckDB

Iceberg

PMTiles

Descrizione del lavoro

Aarden is seeking a senior data engineer to own and evolve our core datasets and the data pipeline that keeps them current. You’ll ensure data quality, reliability, and have a direct impact on our user-facing products.

You’ll work with Python/SQL and modern lakehouse tech on AWS, maintaining pipelines with Prefect, Airflow, and Dagster. Collaborate across product and analytics to scale the platform from Seattle.