Data Reliability Engineer

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

⛑ DevOps- und Site Reliability Engineer (SRE)

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 11%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Vytalize Health

Vytalize Health

201 - 500 Mitarbeiter

🏥 Gesundheitswesen

☁️ SaaS

⚕️ Krankenversicherung

💰 €100.000.000 Series C - Vytalize Health im 2023-02

Healthcare • SaaS • Healthcare Insurance

Vytalize Health ist ein Unternehmen für Gesundheitsdienstleistungen und -technologie, das Hausarztpraxen und Accountable Care Organizations (ACOs) beim Übergang zu wertorientierter Versorgung unterstützt. Es kombiniert datengesteuerte Analysen, virtuelle und häusliche klinische Unterstützung sowie Betreuungsmanagement-Dienstleistungen, um die Patientenversorgung zu verbessern, Medicare-anerkannte Fernleistungen für chronische Erkrankungen zu ermöglichen und Praxisgemeinschaften im Rahmen wertorientierter Verträge zu Einsparungen zu verhelfen. Vytalize arbeitet mit unabhängigen Hausärzten, Gruppenpraxen, Gesundheitszentren und bestehenden ACOs zusammen, um klinische Befähigung, praxisangepasste Arbeitsabläufe und Leistungsanalysen bereitzustellen.

Beschreibung

• Own and continuously improve the reliability of data pipelines across ingestion, transformation, and delivery layers, ensuring data is accurate, complete, and delivered on schedule. • Establish and maintain data reliability standards, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for both upstream ingestion and downstream data delivery. • Design, implement, and maintain comprehensive monitoring, logging, and observability frameworks for data pipelines, datasets, and data services with clear visibility into freshness, volume, schema changes, and data quality. • Design and implement data quality testing and validation frameworks — establishing test cases, golden datasets, and regression tests to detect quality issues early. • Lead incident response for data reliability issues, including detection, triage, communication, root cause analysis, and post-incident remediation with documented corrective actions. • Drive improvements in pipeline resiliency through retry strategies, backfills, idempotency, schema enforcement, and safe deployment practices.

🎯 Anforderungen

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience. • 5+ years of experience working with data platforms, data pipelines, or distributed data systems in production environments. • Demonstrated experience improving reliability, observability, or operational quality of data systems with measurable SLI/SLO/SLA improvements. • Hands-on experience supporting both data ingestion pipelines and downstream data consumption or delivery patterns. • 1+ years of hands-on experience with machine learning-based monitoring, anomaly detection, or AI-assisted observability tools. • Demonstrated experience with data quality testing, validation frameworks, and quality metrics definition. • Proficiency in Python and SQL, with experience building or supporting production-grade data pipelines. • Strong understanding of modern data architectures, including data lakehouse patterns and multi-layer (bronze/silver/gold) data models. • Experience with cloud-based data platforms (AWS, Databricks, or similar).

🏖️ Vorteile

• Health insurance • 401(k) matching • Flexible work arrangements • Professional development opportunities

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