Senior Manager, Data Engineering

🕒 Abril 4

🏈 Alabama, Alaska, +44 estados a mais – Remoto

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $128.136 - $252.194 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Mercury Insurance

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1962

💸 Finanças

👥 B2C

Insurance • Finance • B2C

A Mercury Insurance é um provedor líder de produtos de seguro, focando em proteger indivíduos e seus bens com um compromisso com a privacidade e o atendimento ao cliente. A empresa opera através de agentes independentes e oferece uma variedade de serviços de seguros, incluindo seguros de automóveis, residenciais e outros produtos de seguro pessoal. A Mercury Insurance prioriza a segurança das informações pessoais e a conformidade com as leis de privacidade, garantindo que os dados dos clientes sejam manuseados com cuidado e compartilhados apenas quando necessário para o atendimento de contas ou conforme exigido por lei.

Descrição

• Manage and guide data teams with hands-on experience to execute on enterprise data strategy. • Provide technical guidance for the team, raise the bar on the latest data technologies, and mentor data resources. • Design, develop, and implement end-to-end EDW data processing encompassing multiple Data Marts. • Build and manage scalable data pipelines to load EDW and data science environments. • Automate data operations to manage 100s of pipelines. • Automate data validation and testing of pipelines. • Collaborate with engineering teams to productionize data pipelines with high reliability and performance.

🎯 Requisitos

• BS in Computer Science or Equivalent. MS Preferred. • 5-10 years People Management Experience: experience managing, mentoring, and growing high-performing teams of data and analytics engineers. • Architectural Expertise: Proven experience redesigning foundational data pipelines and enterprise data models with the ability to make high-quality decisions regarding grain, entities, relationships, and slowly changing dimensions. • Strong Modeling Standards: Mastery of modern modeling patterns (3NF, dimensional, and Star/Snowflake) and the ability to guide teams toward structures that support real-world business processes and analytics. • Operational Excellence: A passion for data reliability, including the implementation of data quality frameworks, observability, and guardrails to reduce manual processes and technical debt. • Technical Skills: Expert-level proficiency in SQL, Python, and production experience with Informatica, DBT (models, tests, packages), along with familiarity with orchestration tools (Airflow, Tivoli, or Dagster). Data streaming(Kafka or similar) knowledge preferred. • Modern Stack Experience: Hands-on experience with Lakehouse/Warehouse technologies (Redshift, Databricks, Snowflake, or BigQuery) and layered architecture (Bronze/Silver/Gold). • Engineering Best Practices: A commitment to automation-first principles, using Git, CI/CD, and DRY patterns within a cloud environment (AWS/GCP/Azure). • Data Leadership: A "data product" mindset rather than a "ticket" mindset, with the ability to translate business problems into requirements, prioritize roadmaps, and manage stakeholders. • Experience in leveraging GenAI/LLMs(OpenAI/Claude/Gemini) to solve time-consuming critical problems. • Experience in an Insurance, SaaS, or marketplace environment is a plus.

🏖️ Benefícios

• Competitive compensation • Flexibility to work from anywhere in the United States for most positions • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) • Medical, dental, vision, life, and pet insurance • 401 (k) retirement savings plan with company match • Engaging work environment • Promotional opportunities • Education assistance • Professional and personal development opportunities • Company recognition program • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more