Senior Data Engineer

🕒 Março 30

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 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

Mozilla

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1998

👥 B2C

🔒 Cibersegurança

B2C • Cybersecurity • Software

A Mozilla é uma organização sem fins lucrativos dedicada a promover uma internet aberta e acessível. Eles são os criadores do popular navegador Firefox, que enfatiza a privacidade do usuário, velocidade e controle. A Mozilla também oferece uma gama de produtos que focam na segurança e privacidade na internet, incluindo o Mozilla VPN, Firefox Relay e Mozilla Monitor. Além disso, a organização está envolvida em projetos de código aberto, inovação em IA e defesa dos direitos digitais. A Mozilla visa capacitar os usuários com tecnologia e políticas confiáveis que protejam a privacidade, apoiem o desenvolvimento de IA de código aberto e promovam a responsabilidade das empresas de tecnologia.

Descrição

• You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on • You’ll partner with data scientists, product, and marketing teams to turn complex datasets into the models and metrics that drive Mozilla’s decisions • You’ll ensure our datasets stay accurate and performant by using our observability tools to monitor quality and joining a weekly triage rotation to resolve data issues as they arise • You’ll partner with other data engineers and platform engineers to improve how we work • You’ll ensure our data governance and privacy policies are implemented and enforced across the tens of terabytes of data flowing through our systems daily

🎯 Requisitos

• At a minimum, 4 years of professional experience in data engineering • Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale • Experience mapping complex business processes into extensible, analytical data models. You have a clear vision for long-term architecture but prefer an incremental approach that delivers immediate value while allowing our models to evolve. • You build modular, reusable code and efficient logic that remains performant when processing data at our scale • You are comfortable taking a high level goal and turning it into a plan. You have a track record of owning projects from start to finish, managing your own blockers, and keeping your team in the loop. • You possess strong communication skills and the ability to work effectively with a distributed team across different time zones. • Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit. • A track record of recommending and implementing new data collection methods to improve data model quality • You have used data to answer specific questions and guide company decisions. • You have experience with cloud distributed systems (we use GCP) including distributed databases, message queues or batch / stream processing • You ensure data is safe to depend on through smart orchestration, error handling, and idempotency.

🏖️ Benefícios

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team • Rich medical, dental, and vision coverage • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) • Quarterly all-company wellness days where everyone takes a pause together • Country specific holidays plus a day off for your birthday • One-time home office stipend • Annual professional development budget • Quarterly well-being stipend • Considerable paid parental leave • Employee referral bonus program • Other benefits (life/AD&D, disability, EAP, etc. - varies by country)