Staff Data Engineer

🕒 il y a 10 jours

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

PayNearMe

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2009

💳 Fintech

☁️ SaaS

🤝 B2B

🔥 Financement dans la dernière année

💰 €50 000 000 Series E - PayNearMe en 2025-09

Fintech • SaaS • B2B

PayNearMe est une société de technologie de paiement qui propose une plateforme moderne et complète pour les entreprises afin d'accepter, de distribuer et de gérer les paiements. La plateforme met l'accent sur la gestion de l'expérience de paiement, offrant des fonctionnalités telles que le traitement moderne des paiements, l'automatisation et le libre-service, la gestion des exceptions, ainsi qu'un réseau de paiement en espèces dans les points de vente. PayNearMe cible les clients professionnels de divers secteurs (prêts automobiles et à la consommation, péages, iGaming, concessionnaires buy-here-pay-here, coopératives de crédit, services hypothécaires, cabinets d'avocats, etc. ) et affiche des indicateurs tels que plus de 16 ans d'activité, plus de 50 milliards de dollars traités annuellement, plus de 16 000 entreprises sur sa plateforme, et plus de 62 000 points de vente en espèces. Les services de transmission d'argent sont fournis par ses filiales PayNearMe MT, Inc. et PayNearMe Financial, Inc.

Description

• Provide technical leadership in the design, development, and evolution of PayNearMe's modern data platform and data products. • Work closely with Product, Engineering, Risk, Finance, Operations, and Analytics teams to model complex payment data into trusted, governed, and reusable data products that power reporting, analytics, operational intelligence, AI, and customer-facing applications. • Lead the design of scalable data models across the Bronze, Silver, and Gold layers of our lakehouse architecture while establishing engineering best practices and mentoring other engineers through technical leadership. • Collaborate with business stakeholders, product managers, and engineering teams to understand business processes and translate them into well-designed analytical data models. • Develop reusable semantic models that provide consistent business definitions and metrics across the organization. • Capture and transform transactional payment data from operational systems into curated analytical datasets. • Optimize query performance and execution.

🎯 Exigences

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or related field. • 10+ years of professional experience in Data Engineering, Analytics Engineering, or Data Platform Engineering. • Deep expertise designing enterprise-scale data platforms and cloud-native data architectures. • Strong experience modeling complex business domains with emphasis on payment, financial, or transactional data. • Expert knowledge of: • Dimensional modeling • Fact and dimension design • Star schema design • Semantic modeling • Data warehouse architecture • Experience designing and maintaining curated Silver and Gold layer data models within modern lakehouse architectures. • Expert SQL skills with demonstrated experience writing highly performant analytical queries. • Strong Python programming skills. • Extensive hands-on experience with: • Snowflake • dbt • Fivetran • AWS • GitLab • Looker / LookML • Strong understanding of: • ELT architectures • Data quality • Metadata management • Data lineage • Data observability • CI/CD pipelines • Infrastructure-as-Code • Experience building highly reliable, scalable, and maintainable data pipelines. • Excellent problem-solving and diagnostic skills. • Exceptional written and verbal communication skills. • Demonstrated ability to influence technical direction without direct management responsibility. • Strong organizational and communication skills

🏖️ Avantages

• Competitive salary and benefits with growth-company options grant • Fast- paced and professional work culture • Stock options with standard startup vesting - 1 year cliff; 4 years total • $50 monthly communication expense stipend to go towards your phone/internet bill • $250 stipend to enhance your WFH setup • Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200) • Premium medical benefits including vision and dental (100% coverage for employees) • Company-sponsored life and disability insurance • Paid parental bonding leave • Paid sick leave, jury duty, bereavement • 401k plan • Flexible Time Off (our team members typically take off ~3-4 weeks per year) • Volunteer Time Off • 13 scheduled holidays