Roadtrippers Place Lab powers the geo-data for Roadtrippers consumer web and mobile applications and the underlying B2B services. Roadtrippers Place Lab is looking for a detail-oriented problem solver to join the team as a Data Engineer focusing on all things geo-data. This engineer will share the responsibility of data quality and fidelity with our engineering, data science, and data quality teams by developing better ways to evaluate, audit, augment, and ingest data about places.

Responsibilities



Work with the AI/ML research team in developing new models and pipelines to derive insights and improve our data quality



Bridge AI/ML research to assist in building production pipelines and improve the efficiency transitioning from development



Own production AI/ML pipelines including revisions, optimizations and detecting root-cause anomalies



Assist in planning and implementation of data ingestion, sourcing, and automation projects



Communicate with Engineering and Product teams about requirements and opportunities as it relates to new data and schema updates



Contribute to application development for data initiatives



Identify, participate and implement initiatives for continuous improvement of data ingestion, quality, and processes.



Manually manipulate data when necessary, while learning and applying these needs to scale future projects



Qualifications



Experience with Data Science/ML/AI



Experience working with geospatial data is a huge plus



Development experience with Python



Knowledge of SQL (ideally Postgres), Elasticsearch and schemaless databases



Experience with ETL and implementing Data Pipeline architecture



AWS and SageMaker experience is particularly valuable



Big data experience is ideal



Understanding of web application architecture, Ruby and Ruby on Rails experience is a plus



A "do what it takes" attitude and a passion for great user experience



Strong communication skills and experience working with highly technical teams



Passion for identifying and solving problems



Comfort in a fast-paced, highly-dynamic environment with multiple stakeholders



We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.