Senior Forward Deployed Engineer – Public Sector

🕒 vor 4 Tagen

🏈 Alabama, California, +16 weitere Bundesländer – Remote

🏈 Alabama – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $182.000 - $250.208 / Jahr

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 1%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 5 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 47 Tagen besetzt.

Jetzt Bewerben

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Databricks

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 €1.600.000.000 Series H im 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks ist ein Daten- und KI-Unternehmen und bietet eine einheitliche Plattform für Data Engineering, Machine Learning und Analytics. Der Schwerpunkt liegt auf der Optimierung der Big-Data-Verarbeitung. Databricks unterstützt Organisationen dabei, Apache Spark zu nutzen, um tiefere Erkenntnisse und leistungsstarke, datengetriebene Anwendungen bereitzustellen. Zudem stellt Databricks robuste Tools und eine nahtlose Integration für MLOps (Machine Learning Operations) bereit.

Beschreibung

• Build and productionize solutions for federal, state, and local government customers using the Databricks platform • Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development • Deliver production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations • Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications • Scope technical delivery work with engagement managers and customers • Guide customers on architecture and design and support successful evaluation and adoption of Databricks • Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices • Coordinate with Databricks technical teams, project managers, architects, and customer teams to deliver technical components • Provide product and implementation feedback and help resolve engagement-specific product and support issues • Embed with customer teams and engage stakeholders from technical individual contributors to executives • Contribute reusable accelerators, frameworks, and best practices that scale impact and influence the Databricks product roadmap • Train customers and provide other technical support to maximize the value of their data

🎯 Anforderungen

• Eligibility for a U.S. government Public Trust, Secret and/or Top Secret clearance; candidates interested and eligible to obtain an active Public Trust or higher clearance are strongly encouraged to apply • 5+ years experience in data engineering, data platforms & analytics, or software engineering • Fluency in Python, Scala, JavaScript/TypeScript, and modern frameworks • Working knowledge of at least two common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps, ML/AI models, and AI APIs • Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces • Experience with technical project delivery, documentation, and white-boarding • Experience working with enterprise clients and managing conflicts across a broad stakeholder range • 8+ years experience in data engineering, data platforms & analytics, or software engineering (preferred) • Databricks Certification (preferred) • Expertise in MLOps, ML/AI models, and AI APIs (preferred) • Ability to travel 25% to client sites

🏖️ Vorteile

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks • Region-specific benefits details provided by Databricks

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