Resumo da vaga

Sr. Data Pipeline Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What You'll Do:

  • Collaborate with a global team of data engineers, fostering coordination across time zones and driving operational excellence.
  • Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.
  • Design and implement real-time and batch ingestion frameworks integrating data from various business systems and APIs.
  • Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications.
  • Drive data quality, observability and reliability across pipelines through monitoring, alerting, and proactive issue resolution.
  • Collaborate with data science and product teams to support AI assistance bot integration, AI/ML workflows, and product telemetry analytics.
  • Ensure engineering excellence by aligning data practices with DevOps principles, CI/CD automation, and robust data governance standards.
  • Oversee multiple projects simultaneously, managing priorities, and delivery timelines in a dynamic, high-velocity environment.
  • Communicate effectively with business and technical stakeholders to align data engineering initiatives with strategic organizational goals.

What You'll Need:

  • 12+ years of experience in designing and building scalable Data Pipelines..
  • Demonstrated success working with distributed analytics and BI teams across multiple time zones.
  • Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake, including proficiency in advanced SQL for complex transformations, performance tuning.
  • Deep experience in API & file-based data ingestion, real-time streaming, and data pipeline orchestration at scale.
  • Hands-on experience with data integration from SFDC, NetSuite, Workday, and similar business platforms.
  • Exposure to AI assistance bot integrations, data science workflows, and ML data pipelines.
  • Understanding of SaaS product telemetry, metadata management, and data governance principles.
  • Experience applying DevOps and CI/CD practices to data engineering environments.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

Bonus Points:

  • Experience working for a SaaS security company and building business metrics is preferred

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees regardless of level or role
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
  • Vibrant office culture with world class amenities
  • Great Place to Work Certified™ across the globe
Vagas similares

Mantenha uma lista reserva.

Ver stack
FocoSenior Data Pipeline EngineerÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackCI/CD, Python, SalesforceSkills principais
Localização2 países aceitosElegibilidade

Stack

Use estas tags para comparar vagas remotas similares.

Elegibilidade de localização

Candidatos devem aplicar apenas quando o país do perfil estiver listado aqui.

Seu perfilPaís não definidoEntre para comparar seu país com esta vaga.

Fluxo de contratação

O WithMira mostra a vaga e depois envia candidatos para a aplicação da empresa.

1Confira fit da vaga, stack e elegibilidade de localização no WithMira.
2Abra a página de aplicação da empresa pelo link rastreado.
3Salve a vaga ou assine oportunidades similares antes de sair.
Aplicar no site da empresaSite da empresaAbrir link