Lead Data Engineer

🕒 il y a 5 jours

🇺🇸 États-Unis – Télétravail

💵 $125 400 - $181 875 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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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

• Lead the design and implementation of advanced data pipelines and ingestion frameworks. • Guide the technical execution of complex data initiatives across teams. • Translate highly complex business requirements into scalable data solutions. • Ensure data platforms are optimized for performance, scalability, and reliability. • Enforce data governance, security, and quality standards. • Mentor engineers and provide technical leadership on projects. • Lead code reviews and ensure adherence to engineering standards. • Collaborate with architects and stakeholders to align solutions with enterprise direction. • Drive improvements in automation, efficiency, and platform capabilities. • Support architectural discussions and contribute to design decisions. • Complete other duties as assigned.

🎯 Exigences

• Bachelor’s degree in Computer Science or a related field, or an equivalent combination of training and experience. • 6 to 8 or more years of data engineering experience with enterprise-scale platforms. • Advanced proficiency in Python, PySpark, and SQL. • Strong experience with AWS and modern data platforms. • Deep understanding of data modeling, ETL and ELT processes, and data warehousing. • Experience leading technical initiatives and mentoring engineers. • Strong problem-solving and communication skills. • Experience working in Agile environments.

🏖️ Avantages

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.