Data Engineer

🕒 il y a 9 jours

🇺🇸 États-Unis – Télétravail

💵 $130 000 - $145 000 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

Airflow

Amazon Redshift

AWS

BigQuery

Cloud

Python

SQL

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Logo of Talkiatry

Talkiatry

501 - 1000 employés

Fondée en 2019

🏥 Santé

👥 B2C

Healthcare • B2C

Talkiatry est un prestataire de services de psychiatrie virtuelle qui propose des soins psychiatriques 100 % en ligne ainsi qu'une gestion de la médication. La plateforme met en relation les patients avec des psychiatres agréés et d'autres cliniciens, offre un suivi avec le même prestataire et traite des affections telles que le TDAH, l'anxiété, la dépression, le trouble bipolaire, le TOC, le SSPT, l'insomnie et les besoins péripartum/postpartum. Talkiatry travaille en réseau avec les principaux assureurs, fournit des estimations de copaiement, un portail patient et des ressources telles que des quiz et des informations sur les médicaments. Le site précise que ses cliniciens ont en moyenne 10 ans d'expérience, représentent plusieurs sous-spécialités et parlent de nombreuses langues.

Description

• Build and maintain ingestion pipelines and Python services running on AWS (Lambda, ECS) • Develop and maintain dbt models in our Snowflake warehouse, with thoughtful tests and documentation • Take operational responsibility — participate in the on-call rotation, triage pipeline failures, contribute to post-mortems • Partner with our BI / Analytics Engineering team to translate their needs into reliable DE work • Migrate independently-scheduled tasks and pipelines into Airflow DAGs as we standardize orchestration • Contribute to our CI/CD pipelines (GitHub Actions) and team standards • Mentor newer team members and review their work

🎯 Exigences

• 2+ years working as a Data Engineer (or in a closely-related role: backend engineering with substantial data work, analytics engineering, etc.) • Strong Python — you're a programmer, not just someone who can write SQL. You can write clear, testable Python and understand idiomatic patterns. • Advanced SQL — you've written non-trivial queries against a cloud warehouse, you understand window functions, joins, and how to write SQL that performs. • Conceptual understanding of CI/CD pipelines — you don't need to have built one yourself, but you understand what they do and why they matter. • Experience with a cloud data warehouse (Snowflake, Redshift, BigQuery, etc.); Snowflake preferred. • Comfortable in a cloud computing environment, ideally AWS. • Bachelor's degree in computer science or similar is preferred but not required.

🏖️ Avantages

• Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!

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