Data Operations Engineer II

🔥 il y a 18 heures

🔔 Pennsylvania – Distant

info

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

Postuler Maintenant
Trouver des Emplois à Distance Similaires

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Logo of AccuWeather

AccuWeather

501 - 1000 employés

Fondée en 1962

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

AccuWeather est un leader mondial dans les services de prévisions météorologiques, fournissant des informations météorologiques extrêmement précises et des prévisions pour divers endroits dans le monde entier. L'entreprise propose une gamme de produits et services incluant la publicité numérique, des API, des applications mobiles et des services par abonnement tels que AccuWeather Premium et AccuWeather Professional. Elle propose des actualités météorologiques, des radars et cartes, ainsi que des prévisions spécialisées, telles que le suivi des ouragans et les alertes de météo sévère. Grâce à ses technologies innovantes RealFeel® et RealFeel Shade™, AccuWeather offre des aperçus météorologiques personnalisés, améliorant la sécurité et la commodité pour les entreprises et particuliers. La mission de l'entreprise est de fournir une précision supérieure dans les rapports et prévisions météorologiques.

Description

• Build, monitor, and maintain data ingestion processes and systems across platforms, including Databricks, the Data Marketplace, and Ad Platform • Develop, maintain, and optimize Python, PowerShell, Bash, or similar scripts for automated data collection and monitoring • Own the operational state of defined data pipelines, including monitoring, incident response, maintenance, and escalation • Maintain SQL databases for data loading and deployment • Develop and maintain unit test coverage for Data Ops codebases • Administer GoAnywhere and other managed file transfer platforms • Build and manage end-to-end monitoring systems and automated alert mechanisms • Diagnose and resolve incidents, identify root causes, implement fixes, validate recovery, and document resolutions • Build and maintain CI/CD pipelines using GitHub Actions and Azure DevOps • Execute scheduled maintenance, patches, updates, and preventive operational checks • Document scripts, automation, monitoring workflows, data pipelines, and deployment procedures • Improve runbooks based on incidents • Collaborate with cross-functional teams on scripting needs and automation strategy • Plan and prioritize work independently, share knowledge, and provide informal coaching

🎯 Exigences

• BA/BS in Computer Science, Information Technology, or a related field, required • 3+ years of experience in data operations, scripting, and automation • Intermediate proficiency in Python, PowerShell, Bash, or similar scripting languages • Fully competent in Azure, Databricks, Snowflake, and SQL Server • Experience managing relational databases such as SQL • Preferred: proficiency in OOP languages such as C++, Java, or similar • Preferred: experience with DataDog or similar monitoring and performance-tracking tools • Preferred: experience with CI/CD deployment automation tools and processes • Preferred: administration experience with managed file transfer tools such as GoAnywhere • Preferred: experience with cloud platforms such as AWS, Azure, or GCP • Preferred: familiarity with version control systems such as Git • Exceptional analytical and problem-solving skills • Ability to debug systems and trace issues to their source • Excellent communication and collaboration skills • Ability to adapt to changing priorities and manage multiple tasks • Ability to provide clear incident updates on a defined cadence during active incidents

🏖️ Avantages

• Remote work option • Equal employment opportunity • Reasonable accommodations for individuals with disabilities

Postuler Maintenant

Emplois Similaires

🕒 il y a 1 jour

CrowdStrike

5001 - 10000

🔒 Cybersecurity

☁️ SaaS

🤖 Intelligence artificielle

Platform Data Engineer building CrowdStrike’s cybersecurity analytics infrastructure. Operating Airflow, Superset, Terraform, CI/CD, and cloud data services at scale.

🇺🇸 États-Unis – Télétravail

💵 $120 000 - $180 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 1 jour

Sembi

201 - 500

☁️ SaaS

🔐 Sécurité

🤝 B2B

IT Platform Engineer building Sembi's AWS-native data lake and AI gateway. Operating secure, self-service infrastructure, pipelines, and model access for internal AI enablement.

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 1 jour

Zignal Labs

51 - 200

🎖️ Défense

💼 Conseil

📦 Logistique

Data Engineer building batch and streaming pipelines for Zignal Labs’ real-time intelligence platform. Supporting NLP, LLM, search, and retrieval systems processing billions of daily events.

🇺🇸 États-Unis – Télétravail

💵 $120 000 - $140 000 / an

💰 €15 000 000 Debt Financing - Zignal Labs en 2019-01

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 1 jour

RethinkFirst

51 - 200

🏥 Santé

💼 Conseil

⚕️ Assurance santé

Data Engineer building Microsoft Fabric Lakehouse and Azure data platforms for a behavioral health technology company. Delivering scalable pipelines, models, integrations, and production data operations.

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🚰 Ingénieur Data

🚫👨‍🎓 Aucun diplôme requis

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 1 jour

Skillable

51 - 200

📚 Éducation

☁️ SaaS

🏢 Entreprise

Data Engineering Manager building scalable data pipelines and enterprise data platforms for Skillable’s training technology. Managing engineers while implementing Databricks, Boomi/Rivery, Delta Lake, and DataOps practices.

🇺🇸 États-Unis – Télétravail

💵 $140 000 - $185 000 / an

💰 Private Equity Round en 2021-03

⏰ Temps Plein

🟠 Senior

🔴 Expert

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis