Data Engineer

Vaga não está no LinkedIn

🔥 8 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 0%

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

TSPi

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

🏥 Saúde

🏛️ Governo

Consulting • Healthcare • Government

A TSPi é uma pequena empresa de serviços de TI que projeta e implementa soluções empresariais para melhorar a eficiência, aumentar o desempenho e acelerar o sucesso dos clientes. A empresa foca na modernização de aplicações, plataformas de low-code, arquitetura de cloud e DevOps, e soluções de originação/gestão de empréstimos para clientes do setor público. A TSPi possui vários contratos federais (GSA MAS, CIO-SP3, NASA SEWP V), mantém certificações ISO e CMMI, e atua como revendedora de valor agregado e incubadora para acelerar a transformação de TI governamental.

Descrição

• Design, modernize, and support production data pipelines that ingest, transform, validate, and publish vessel, permit, trip, declaration, landing, and enforcement-related data. • Define scalable integration patterns for batch, scheduled, event-driven, streaming, and API-based workloads. • Translate business and technical needs into source-to-target mappings, canonical models, schema strategies, transformation logic, reference-data rules, and data-quality controls. • Design and optimize complex SQL and data-processing logic for ingestion, reconciliation, analytics, reporting, and application support. • Establish approaches for data lineage, versioning, backward compatibility, and controlled schema evolution. • Lead technical reviews, set engineering standards, and guide source-code, configuration, testing, and release practices through Git or GitHub workflows. • Architect and implement secure, resilient data workloads using BigQuery and other Google Cloud Platform services. • Guide cloud storage, orchestration, service identities, secrets, configuration, networking, and environment-specific deployment settings. • Improve continuous integration and delivery pipelines and establish automated deployments across development, test, staging, and production environments. • Evaluate architectural tradeoffs and improve performance, scalability, cost efficiency, recoverability, and operational visibility. • Apply federal security requirements, least-privilege access, encryption, auditability, and secure service-to-service communication practices. • Define monitoring and service-level indicators for pipeline health, processing volume, latency, failures, data quality, and downstream impact. • Lead diagnosis and resolution of complex issues involving source data, database connections, APIs, credentials, transformation logic, schedules, dependencies, and cloud services. • Establish standards for alerting, structured logging, retry handling, failure recovery, reprocessing, reconciliation, and operational readiness. • Coordinate releases, production validation, incident response, root-cause analysis, corrective actions, and stakeholder communication. • Own and review architecture diagrams, interface documentation, data dictionaries, decision records, runbooks, deployment procedures, and known-issue records. • Mentor engineers, facilitate technical design discussions, estimate complex work, identify delivery risks, and contribute to backlog refinement, sprint planning, demonstrations, and retrospectives. • Provide technical leadership for data pipelines, interfaces, and cloud services supporting federal government vessel and enforcement information systems.

🎯 Requisitos

• Minimum 9 years of professional experience in data engineering, systems integration, software engineering, or a related role, including responsibility for complex production systems. • Advanced experience designing, building, and supporting data pipelines in Google Cloud Platform or a comparable cloud environment. • Advanced SQL skills and demonstrated experience designing solutions with BigQuery, relational databases, or cloud data warehouses. • Strong proficiency with Python, Java, or another language used for production data-processing and integration services. • Demonstrated experience designing REST API integrations, data contracts, schema-evolution strategies, mappings, transformations, and reconciliation processes. • Experience leading production troubleshooting, incident response, root-cause analysis, and resolution of complex data-quality or integration issues. • Experience establishing Git or GitHub workflows, code-review standards, automated testing, continuous integration, and deployment pipelines. • Ability to assess an existing architecture and codebase, identify technical risk, and assume ownership of mission-critical services with limited oversight. • Strong technical leadership, documentation, communication, mentoring, and cross-functional collaboration skills in an Agile environment. • Bachelor's degree in computer science, information systems, data engineering, or a related field, or equivalent practical experience. • Successful candidates must be able to pass a government background investigation and satisfy public trust requirements. • US Citizenship or US Green Card is required. • Preferred: Deep experience with BigQuery, Cloud Run, Cloud Functions, Pub Sub, Cloud Storage, Dataflow, Composer, or related Google Cloud services. • Preferred: Experience developing enterprise data architecture, reusable integration frameworks, data governance practices, or platform modernization roadmaps. • Preferred: Experience with fisheries, vessel monitoring, maritime, geospatial, regulatory, or enforcement data. • Preferred: Experience with Docker, infrastructure as code, automated data-quality testing, orchestration, and cloud observability tools. • Preferred: Experience defining operational metrics, service-level objectives, health dashboards, and alerts for business-critical data pipelines. • Preferred: Experience supporting federal information systems and leading technical work within federal security, accessibility, change-control, and release-management requirements.