Senior Analytics Engineer

Vaga não está no LinkedIn

🕒 Julho 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $152.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Engenheiro de Analytics

👻 Score fantasma 31%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Everly

SiteLinkedInTodas as Vagas

2 - 10 funcionários

Fundada em 2021

🛍️ Comércio Eletrônico

🛒 Varejo

👥 B2C

eCommerce • Retail • B2C

A Everly é uma marca de velas direct-to-consumer que vende kits de recarga de velas limpos e não tóxicos, recipientes e acessórios por meio de uma loja online. A empresa promove a sustentabilidade ao permitir que os clientes recarreguem e reutilizem potes de velas em casa (o processo de recarga é divulgado como demorando menos de 2 minutos), oferece recipientes feitos à mão, conjuntos e mais vendidos, e doa 1% das vendas para causas ambientais. O conteúdo do site e o HTML indicam uma vitrine de ecommerce/Shopify com páginas de produtos para recargas de velas, conjuntos, recipientes e um localizador de lojas.

Descrição

• Own the analytics platform roadmap — prioritizing improvements, architecture decisions, and tooling enhancements in partnership with IT and the Head of Data, Analytics and AI Solutions • Define and enforce platform SLAs, data quality standards, and operational runbooks • Serve as technical mentor to the Analytics Engineer/Data Scientist • Own the end-to-end data pipeline from ingestion through transformation and delivery into BI tools and data products across our AWS stack (Step Functions, Glue, Snowflake, dbt, Sigma) • Partner with third-party vendors to maintain DataOps infrastructure using infrastructure-as-code practices • Monitor pipeline health and drive timely resolution of data issues with providers and consumers • Maintain and evolve an enterprise data model, data dictionary, and business rules agnostic across sources, insurance products, and distributors • Enforce Snowflake security best practices — masking policies, RBAC, and least-privilege access — aligned to GLBA NPI/NPI-H classification requirements • Champion data governance, lineage, and quality standards; support NAIC MDL-668 audit trails, SOC 2 Type II evidence collection, and adherence to CCPA/CPRA, HIPAA, and state breach notification requirements • Design and maintain systems of record for core insurance domains (policy, claims, billing, distribution, customer) with proper versioning, effective dating, and audit history • Own database design and management for AI tools and models, including vector databases, feature stores, and model input/output pipelines • Design and maintain a semantic layer enabling natural language insight discovery • Own executive and operational dashboards from board-level reporting down to day-to-day operations • Set BI development standards for the Analytics Engineer/Data Scientist to execute against • Maintain and enhance actuarial data pipelines including distributed compute and Glue Jobs for data curation • Advise on data architecture decisions supporting future AI/ML and modeling use cases

🎯 Requisitos

• Bachelor’s degree in computer science, Data Engineering, Statistics, Mathematics, or a related field — or equivalent work experience • 8+ years of experience in analytics engineering, data engineering, or a closely related role, with demonstrated progression in scope and ownership • Hands-on experience with dbt (data build tool) for transformation, data modeling, and testing at scale • Strong proficiency with Snowflake, including dynamic data masking, RBAC, performance optimization, and cost governance • Hands-on experience with AWS data services including Glue, Step Functions, S3, and Lambda • Strong SQL proficiency; Python required at this level (data pipeline development, scripting, automation) • Demonstrated experience owning a BI delivery roadmap and building dashboards for executive and operational audiences • Demonstrated experience building and maintaining enterprise data models and semantic layers in a multi-product, multi-source environment • Strong understanding of data governance, data quality frameworks, and privacy best practices • Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, or similar) • Working knowledge of data privacy and security compliance frameworks relevant to US life and annuity carriers, including GLBA, NAIC MDL-668. • Experience owning or contributing to a technical product or platform roadmap • Demonstrated ability to manage competing stakeholder priorities and communicate platform trade-offs to senior leadership.

🏖️ Benefícios

• Employees are eligible for an annual incentive bonus designed to reward for performance. • Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day • Paid parental leave eligible after 3 months of service • Medical, Dental & Vision Insurance • 401k with company match • Profit Sharing & Savings Plan • Short-term and long-term disability insurance • Flexible spending account • Life insurance • Educational Assistance • Associate Assistance Programs and more!

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo