Lead Data Engineer

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

💵 $174 000 - $230 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

Airflow

BigQuery

Cloud

Python

SQL

Go

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Atticus

51 - 200 employés

🏥 Santé

🛡️ Assurance

⚖️ Juridique

Healthcare • Insurance • Legal

Atticus est un cabinet d'avocats dédié à aider les individus à obtenir de l'aide des systèmes gouvernementaux et d'assurance en période de crise. Spécialisé dans les prestations d'invalidité, l'indemnisation des travailleurs, et les prestations pour anciens combattants, Atticus offre des conseils d'experts gratuits, en reliant les clients avec des cabinets d'avocats de premier plan pour s'assurer qu'ils reçoivent la compensation qu'ils méritent. Avec un processus convivial, Atticus simplifie le parcours pour obtenir de l'aide juridique, offrant une aide rapide et efficace avec un taux de satisfaction élevé de la part de milliers de clients.

Description

• Own and operate our data warehouse, pipelines, and transformation layer • Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers • Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights • Incrementally improve and modernize our existing data systems - you won't build everything from scratch, but you'll know how to assess what we have, prioritize what matters, and migrate thoughtfully • Implement data quality monitoring, alerting, and documentation practices that build trust across the organization

🎯 Exigences

• 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization • Hands-on experience with the modern data stack - proficiency with BigQuery (or a comparable cloud warehouse), dbt, and an orchestration tool like Dagster or Airflow • Strong SQL skills and fluency in Golang, Python, or another common Data Engineering language • Track record of improving or modernizing data systems iteratively - you're comfortable inheriting legacy infrastructure and systems and making them progressively better • Strong communication and collaboration skills - able to work fluidly across both technical and business-oriented teams

🏖️ Avantages

• Medical and dental insurance with 100% of employee premiums covered • 15 vacation days & ~20 paid holidays each year (including two weeks at end-of-year) • Free membership to OneMedical • $600/year reimbursable stipend for internet service • $1,000 reimbursable stipend for education and training outside of work • Up to $1,200/year student loan repayment assistance • 401(k) and optional HSA/FSA

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