Senior Software Engineer, Data Platform

🕒 Abril 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $170.000 - $240.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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SentiLink

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2017

🔐 Segurança

💳 Fintech

💸 Finanças

💰 $70.000.000 Series B em 2021-08

Security • Fintech • Finance

A SentiLink é uma empresa focada em combater fraudes de identidade para instituições financeiras. Ao alavancar modelos de machine learning e expertise humana, a SentiLink oferece soluções personalizadas para impedir o roubo de identidade no ponto de aplicação para vários serviços financeiros, incluindo depósitos, crédito e empréstimos. Seus produtos garantem que os clientes possam acessar serviços financeiros com segurança enquanto minimizam as perdas por fraude com uma abordagem flexível e responsiva à gestão de risco.

Descrição

• Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships • Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements • Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards • Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores • Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products • Participate in call rotation for production issues, along with the rest of engineering • Mentor junior engineers and contribute to our evolving engineering best practices • Drive innovation by actively participating in our hackathons and doing proof of concepts • Develop functional subject matter expertise within various areas of identity fraud domain

🎯 Requisitos

• 5+ years of experience in software engineering, data engineering or related field • Proficient in in python or golang and related technologies and frameworks • Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies • Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP • Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques • Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms • Working knowledge of Infrastructure-as-Code and devops practices • Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) • Self organized and ability to work independently and with ambiguity • Experience working in a scrum / Agile development environment • Bonus points if you have: • Experience working with Spark/EMR • Built streaming applications • Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc. • Prior experience working in a fintech startup • Candidates must be legally authorized to work in the United States and must live in the United States

🏖️ Benefícios

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!