Senior Manager, Data Engineering

🕒 Outubro 6

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $135.000 - $175.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 4%

O que significa: quão provável esta vaga está aberta sem contratação ativa.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

Configurar Alerta de Email para Novas Vagas

📊 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

NinjaHoldings

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2017

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

A NinjaHoldings é uma empresa pioneira que oferece soluções financeiras transformadoras e inovadoras, com foco em empréstimos digitais e serviços financeiros para americanos desatendidos. Como empreendedores originais e cientistas de dados, eles desenvolveram plataformas digitais de dinheiro para capacitar indivíduos frequentemente negligenciados pelos bancos tradicionais. Através de suas marcas como CreditNinja e NinjaCard, eles oferecem um conjunto abrangente de produtos bancários e de empréstimos digitais, com incentivos e recompensas que ajudam a guiar os clientes em direção à melhoria financeira. Além disso, sua marca NinjaEdge oferece soluções B2B para empresas, aprimorando a compreensão do cliente por meio de serviços personalizados de subscrição, detecção de fraudes e análise.

Descrição

• Lead the Data Engineering team and set the technical direction for the data platform • Own the architecture, reliability, performance, and evolution of Snowflake, PostgreSQL, and data pipelines • Lead the transition to a Medallion architecture and establish standards for data ingestion, transformation, modeling, testing, documentation, and consumption • Own and evolve the modern data stack, including Snowflake, dbt, Fivetran, Meltano, PostgreSQL, AWS, and related technologies • Partner with application engineering teams on transactional database design, schema changes, performance, scalability, and reliability • Work with Engineering, Analytics, Product, Finance, Risk, Marketing, and other business teams to turn data needs into reusable solutions • Establish engineering practices around data quality, automated testing, observability, lineage, security, documentation, and incident response • Improve self-service access to data • Monitor and optimize the platform for performance, scalability, and cost • Build a long-term roadmap balancing current business needs with future platform needs, including AI use cases • Lead, mentor, and develop a strong team of Data Engineers • Set technical standards and expectations while giving engineers ownership • Participate in architecture and design decisions and provide technical support when needed • Help prioritize work based on business impact, technical risk, reliability, and long-term value • Create a culture of data quality, testing, documentation, and operational reliability • Communicate technical decisions, tradeoffs, risks, and investments to technical and nontechnical teams

🎯 Requisitos

• 6+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field • 2+ years of experience leading or managing Data Engineers or other technical teams • Strong experience with Snowflake, dbt, SQL, and modern ELT or ETL architectures • Strong understanding of PostgreSQL or similar relational databases, including schema design, indexing, query performance, and reliability • Experience with data ingestion and integration tools such as Fivetran, Meltano, or similar technologies • Experience with dimensional modeling, Medallion architecture, or other modern warehouse design patterns • Strong understanding of data quality, automated testing, observability, lineage, governance, and security • Experience operating cloud based data platforms and understanding performance and cost tradeoffs • Ability to think at both the architecture level and the implementation level when needed • Strong communication skills and the ability to work effectively across Engineering, Analytics, business teams, and leadership • Experience with Python or Ruby for automation, tooling, or data processing • Experience in financial services or another regulated industry • Experience supporting analytics or AI applications • Experience with data catalogs, data contracts, or master data management • Experience leading a significant warehouse or data platform modernization effort • Experience using AI and automation to improve engineering productivity, monitoring, documentation, or data quality

🏖️ Benefícios

• Flexible Paid Time Off • Health Benefits with generous medical, dental and vision insurance plans • 401(k) with matching contribution • Paid Family Leave • Annual Wellness & WFH Subsidies • Employee Referral Program • Remote first culture with convenient downtown office in the heart of the city