Principal Software Engineer

🕒 vor 2 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $138.000 - $200.100 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Empower

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10.000+ Mitarbeiter

💸 Finanzen

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower ist ein führender Anbieter von Finanzdienstleistungen, der sich darauf konzentriert, Einzelpersonen und Organisationen dabei zu helfen, finanzielle Freiheit durch Altersvorsorge und Investmentmanagement zu erreichen. Mit über 19 Millionen Kunden in den USA bietet Empower eine umfassende Palette an finanzbezogenen Dienstleistungen an, darunter intelligente Planung und Anlageberatung sowie Tools wie das Empower Personal Dashboard™ für einen vollständigen Finanzüberblick. Das Unternehmen ist bekannt als führender Anbieter von Altersvorsorgeplänen und arbeitet eng mit privaten Anlegern, Arbeitsplatzsparer, Plan-Sponsoren und Finanzfachleuten zusammen. Empower wird auch für Initiativen in den Bereichen Diversity, Equity, Inclusion anerkannt und hat ein soziales Engagement, das die Wirkung in der Gemeinschaft stärkt.

Beschreibung

• 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 and ELT design, code reviews, performance tuning, production support, and issue resolution. • Guide the 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 data analysts, data engineers, business stakeholders, architects, product owners, and technology partners to translate business needs into resilient data solutions. • 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 with enterprise standards. • Mentor engineers and technical team members, supporting skill development in cloud data engineering, data modeling, analytics engineering, and modern data platform practices. • Support 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 trends in data engineering, cloud, analytics, AI/ML, and automation to support continuous improvement and technical innovation.

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Engineering, or equivalent training and experience. • 12 or more 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 and ELT development. • Experience with cloud-based data platforms and services, including development, deployment, monitoring, and operational support of data solutions. • 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 ability to collaborate effectively, mentor technical team members, and influence engineering direction across teams.

🏖️ Vorteile

• 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.