Senior Data Engineer

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $160.000 - $195.000 / Jahr

⏰ Vollzeit

🟠 Senior

🚰 Dateningenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Socure

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2012

🤖 Künstliche Intelligenz

🔐 Sicherheit

💸 Finanzen

💰 €450.000.000 Series E im 2021-11

Artificial Intelligence • Security • Finance

Socure ist ein führender Anbieter von KI-gestützten Lösungen zur Identitätsverifizierung und Betrugsprävention. Ihre Plattform, bekannt als RiskOS™, ermöglicht es Organisationen, vertrauenswürdige Entscheidungen zu Identität und Risiko zu treffen, was ein nahtloses Onboarding und Management von Kunden über verschiedene Kontaktpunkte hinweg ermöglicht. Mit Echtzeit-, präzisen Identitätsprüfungen in über 190 Ländern hilft Socure, Identitätsbetrug zu bekämpfen, während es die Compliance sicherstellt und das Kundenerlebnis verbessert.

Beschreibung

• Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains. • Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation. • Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies. • Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency. • Optimize cost, performance, and reliability of data workloads. • Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions. • Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient.

🎯 Anforderungen

• 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines. • Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics. • Deep experience with distributed data processing frameworks, such as Apache Spark, including performance tuning and optimization. • Proven experience building data solutions using services on AWS (EMR, Lambda, s3, etc). • Strong understanding of data modeling and data warehousing concepts, including partitioning, schema design for large-scale datasets. • Experience operating and supporting production pipelines, including monitoring, alerting, incident response, and improving reliability over time. • Solid foundation in software engineering practices, including version control, CI/CD, testing strategies, and code review. • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. • Experience with streaming or near-real-time data processing (Kafka, Kinesis, etc). • Hands-on experience with data orchestration tools (Airflow, Step Functions, etc). • Familiarity with modern data platform patterns such as Data Lakehouse, Data Mesh, and large-scale data sharing across teams. • Experience with prompt engineering using modern GenAI, Large Language Models (LLM).

🏖️ Vorteile

• Offers Equity • Offers Bonus