Principal Engineer – Software

Emploi pas sur LinkedIn

🕒 il y a 10 jours

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 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

Empower

Site WebLinkedInTous les Emplois

10 000+ employés

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower est un prestataire de services financiers de premier plan, axé sur l'aide aux individus et aux organisations pour atteindre la liberté financière grâce à la planification de la retraite et à la gestion des investissements. Au service de plus de 19 millions d'Américains, Empower propose une suite complète de services liés aux finances, incluant la planification intelligente, les conseils en investissement, et des outils comme le tableau de bord personnel Empower™ pour une vue d'ensemble financière. L'entreprise est réputée en tant que principal fournisseur de plans de retraite et collabore étroitement avec des investisseurs individuels, des épargnants sur le lieu de travail, des promoteurs de plans et des professionnels financiers. Empower est également reconnu pour ses initiatives en matière de diversité, d'équité, d'inclusion et a un engagement social qui renforce l'impact communautaire.

Description

• Provide technical feasibility analysis and solution evaluation for data and analytics initiatives based on business, operational, and regulatory needs • Lead the design and implementation of scalable data engineering solutions, including data pipelines, data models, data integrations, and analytics-ready data products • Provide technical leadership for data architecture, ETL/ELT design, code reviews, performance tuning, production support, and issue resolution • Guide modernization of legacy data and reporting platforms, including migration from traditional ETL and reporting tools to modern cloud data platforms and transformation frameworks • Design and oversee data pipelines using cloud-based technologies, Python, Spark, SQL, and related orchestration and transformation tools • Support enterprise analytics platforms, including data warehouse, reporting, semantic layer, and business intelligence environments • Partner with stakeholders to define and execute the technical roadmap for data engineering, analytics enablement, platform modernization, data quality, and automation • Establish and promote engineering standards, reusable patterns, coding guidelines, testing practices, data quality controls, and documentation expectations • Collaborate with architecture, security, infrastructure, governance, and business teams to ensure data solutions are secure, reliable, scalable, and aligned to enterprise standards • Mentor engineers and technical team members, supporting skill development in cloud data engineering, data modeling, analytics engineering, and modern data platform practices • Contribute to AI/ML enablement by ensuring data pipelines, curated datasets, and feature-ready data assets are reliable, governed, and suitable for advanced analytics and machine learning use cases • Stay informed about emerging data engineering, cloud, analytics, AI/ML, and automation trends to drive continuous improvement and technical innovation

🎯 Exigences

• Bachelor’s degree in computer science, information systems, data engineering, analytics, engineering, or equivalent training and experience • 12+ years of experience in software engineering, data engineering, analytics engineering, or enterprise data platform development • Proven experience designing, developing, and maintaining complex data solutions involving multiple systems, stakeholders, business domains, and production dependencies • Strong experience with Python, SQL, distributed data processing, and ETL/ELT development; experience with Spark or similar large-scale data processing frameworks strongly preferred • Experience with cloud-based data platforms and services, preferably AWS, including development, deployment, monitoring, and operational support of data solutions • Experience with enterprise data warehouses, data marts, reporting platforms, and business intelligence solutions; familiarity with platforms such as Redshift, Snowflake, SAP BusinessObjects Data Services, SAP Web Intelligence, or similar technologies preferred • Experience with modern data transformation and analytics engineering tools such as dbt or equivalent frameworks preferred • Strong understanding of data modeling, data warehousing, data quality, metadata management, data lineage, performance optimization, and production support practices • Working knowledge of AI/ML concepts and the data engineering practices required to support advanced analytics, machine learning, and model-ready datasets • Proven ability to design data solutions that integrate with internal and external systems while meeting security, governance, scalability, and reliability requirements • Deep understanding of software development and data engineering practices in a distributed team environment, including version control, testing, CI/CD, release management, and operational monitoring • Excellent problem-solving, analytical, communication, and stakeholder management skills • Proven team player with the ability to mentor technical team members and influence engineering direction across teams • Cloud, data engineering, data architecture, analytics engineering, or AI/ML certifications preferred

🏖️ Avantages

• Flexible work environment • Significant emphasis on work-life balance • Internal mobility and career growth opportunities • Inclusive workplace culture • Volunteering opportunities