Finance Staff Data Engineer, AI Native

🕒 Abril 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $190.000 - $280.500 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Life360

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2008

👥 B2C

📡 Telecomunicações

💰 Post-IPO Equity em 2022-11

B2C • Safety • Telecommunications

A Life360 é um aplicativo líder em segurança familiar que oferece um conjunto abrangente de serviços para segurança digital e de localização. Com a Life360, os usuários podem compartilhar sua localização facilmente, rastrear seus telefones e gerenciar medidas de segurança de direção, incluindo detecção de acidentes e assistência na estrada 24 horas por dia, 7 dias por semana. O aplicativo inclui recursos para segurança digital, como proteção contra roubo de identidade e alertas SOS, garantindo proteção e prevenção para cada membro da família. Os planos da Life360, que incluem opções gratuitas, Gold e Platinum, são projetados para atender diversas necessidades, oferecendo tranquilidade com ferramentas avançadas de segurança e coordenação. O aplicativo é confiado por milhões de usuários e altamente avaliado nas lojas de aplicativos por sua eficiência e confiabilidade na conexão entre membros da família e garantia de sua segurança.

Descrição

• Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring. • Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context). • Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close. • Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems. • Enhance our security posture in our AWS / Databricks environment. • Design and implement distributed data processing systems using Spark and Databricks on AWS. • Establish clear ingestion and integration boundaries that eliminate single points of failure. • Proactively surface risks, dependencies, and tradeoffs before they impact delivery. • Produce clear technical artifacts and recommendations for stakeholders and leadership. • Design logical and physical data models balancing flexibility, performance, governance, and scalability. • Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting. • Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms. • Mentor engineers and elevate distributed systems rigor across the team.

🎯 Requisitos

• 8+ years designing and operating high-volume distributed data systems in production. • Deep expertise with a cloud data platform (Databricks strongly preferred) and AWS from an infrastructure / services architecture, deployment, and ownership perspective. • Strong proficiency in Python, SQL, and Spark for large-scale processing. • Strong proficiency with modern CI/CD practices (creating GitHub Actions, writing Terraform code to manage infrastructure in Databricks / Airflow / AWS / and others). • Hands-on experience with dbt from an infrastructure / deployment perspective and understanding of how platform decisions impact downstream modeling. • Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization. • Experience with Airflow and data flow orchestration. • Experience with networking challenges in data ingestion (e.g., VPC peering, firewall traversal, API rate limiting, cross-AWS account access, etc.) • Able to effectively leverage / oversee LLM-supported code development while maintaining a high quality bar. • Demonstrated experience with AI tools to support / enhance development - Claude Code, Cursor, etc. • Demonstrated ability to independently scope ambiguous problems and drive them to decisive outcomes. • Track record of proactively escalating risks and closing long-running efforts with clear recommendations. • Experience defining ingestion validation standards and implementing data quality controls. • Proven ability to reduce operational fragility and eliminate single points of failure. • Strong systems design skills across distributed and event-based architectures. • Demonstrated technical leadership influencing cross-team architectural decisions. • Excellent communication skills across engineering, analytics, product, and executive stakeholders. • BS in Computer Science, Engineering, Mathematics, or equivalent experience.

🏖️ Benefícios

• Competitive pay and benefits. • Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. • Employee Assistance Program (EAP) for mental wellness. • Flexible PTO and 12 company wide days off throughout the year. • Learning & Development programs. • Equipment, tools, and reimbursement support for a productive remote environment. • Free Life360 Platinum Membership for your preferred circle.