Senior Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

💵 $160 000 - $195 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Socure

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2012

💼 Conseil

🏥 Santé

⚖️ Juridique

💰 €450 000 000 Series E en 2021-11

Consulting • Healthcare • Legal

Socure est un leader dans la fourniture de solutions de vérification d'identité et de prévention de la fraude alimentées par l'intelligence artificielle. Leur plateforme, connue sous le nom de RiskOS™, permet aux organisations de prendre des décisions fiables en matière d'identité et de risque, facilitant ainsi l'intégration et la gestion des clients à travers divers points de contact. Avec des vérifications d'identité en temps réel et précises effectuées dans plus de 190 pays, Socure aide à combattre la fraude identitaire tout en assurant la conformité et en améliorant l'expérience client.

Description

• 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.

🎯 Exigences

• 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).

🏖️ Avantages

• Offers Equity • Offers Bonus