Data Engineering Manager

🕒 Setembro 25

🗽 New York, North Carolina – Remoto

🗽 New York – Remote 🌲 North Carolina – Remote

💵 $130.000 - $200.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

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Red Ventures

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2000

💼 Consultoria

📣 Marketing

✈️ Turismo

💰 Private Equity Round em 2018-07

Consulting • Marketing • Travel

A Red Ventures é um portfólio de empresas focado em otimizar experiências digitais e ajudar milhões de pessoas a tomar decisões informadas sobre assuntos importantes. A empresa combina tecnologia de IA, conteúdo premium e análises de dados sofisticadas para personalizar experiências digitais para clientes em marcas próprias e em parceria com marcas globais renomadas. A Red Ventures também oferece serviços para clientes, auxiliando marcas globais a melhorarem suas jornadas de cliente, e realiza vários investimentos, incluindo startups e parcerias estratégicas. Suas áreas de foco incluem educação, conectividade doméstica, serviços financeiros, energia e viagens.

Descrição

• Lead a team of 2-4 Data Engineers designing and building data pipelines from various sources to a target data warehouse using real-time and batch loading strategies • Support performance reviews, provide actionable feedback, and invest in engineers’ career development and long-term growth • Own end-to-end data platform design and delivery, including ingestion, transformation, outgestion, scheduling, alerting, and monitoring • Translate business strategies and requirements into a technical roadmap and serve as a trusted point of contact for business, client, and technical stakeholders • Establish standards for data governance, documentation, data quality, pipeline observability, lineage, access control, metadata, and integration workflows • Drive platform reliability, scalability, performance, cost optimization, monitoring, and alerting • Lead proof-of-concepts to assess, validate, and improve technical processes • Champion AI in the data stack, agentic tooling, and AI-assisted pipeline development • Engage business stakeholders early to identify upstream opportunities and deliver greater value

🎯 Requisitos

• 3+ years managing a data engineering team, plus at least 5 years of hands-on data engineering experience before or alongside that management experience • 4+ years of hands-on Databricks experience, including Unity Catalog, Delta Lake, and workflow orchestration • 4+ years working on cloud technologies; AWS preferred, Azure or GCP experience welcome • Strong hands-on coding experience with Python and PySpark in a distributed computing context • Strong background in code-first data transformation workflows, scalable data modeling, and data quality best practices • Deep expertise in data governance, including data quality standards, lineage, access control, and documentation • Experience with pipeline observability and monitoring practices, including alerting, backfill management, and failure triage • Experience with GitHub and CI/CD processes in a collaborative engineering environment • Excellent communication skills and ability to translate complex technical concepts for technical and non-technical audiences in client-facing or external partnership contexts • Fluency in how AI is reshaping data engineering, comfort with agentic tooling, and experience building AI into the stack • Ability to engage data engineering early, understand organizational data usage and creation, and activate an existing team to deliver more • Not open to visa sponsorship or transfer of visa sponsorship, including H1-B, F-1, OPT, STEM-OPT, or TN visa • Not available to work corp-to-corp

🏖️ Benefícios

• Health Insurance Coverage (medical, dental, and vision) • Life Insurance • Short and Long-Term Disability Insurance • Flexible Spending Accounts • Holiday Pay • 401(k) with match • Employee Assistance Program • Paid Parental Bonding Benefit Program • Flexible Paid Time Off (PTO): Full-time employees accrue 20 days of PTO for a full calendar year annually, increasing to 25 days after five years of service

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