Data Engineer

🕒 Junho 8

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

💵 $130.000 - $170.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🚰 Engenheiro de Dados

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Shift5

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🔒 Cibersegurança

🚗 Transporte

🚀 Aeroespacial

💰 $50.000.000 Series B em 2022-02

Cybersecurity • Transport • Aerospace

A Shift5 é uma empresa que fornece uma plataforma de observabilidade para tecnologia operacional embarcada (OT), trazendo ordem à complexidade dos dados embarcados em ativos críticos de defesa e transporte. Suas soluções visam aumentar a segurança, disponibilidade, segurança, resiliência e confiabilidade de frotas por meio de acesso em tempo real a dados e à observabilidade. Os serviços da Shift5 incluem manutenção preditiva, cibersegurança, compliance e integridade de GPS, atendendo indústrias como defesa, aviação e ferrovia. A empresa tem o objetivo de desbloquear todo o ecossistema de dados embarcados, permitindo que equipes de operações, manutenção e cibersegurança tomem decisões rápidas e bem-informadas.

Descrição

• Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines. • Interpret requirements and design specifications, taking full ownership of building features from the ground up. • Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability. • Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry. • Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making. • Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services. • Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines. • Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.

🎯 Requisitos

• 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts. • 2+ years of experience with a major programming language (GoLang, Java, or Python). • 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling. • 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools. • Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos. • Familiarity with modern data stack components including data ingestion, transformation, and orchestration. • U.S. citizenship required and ability to obtain a security clearance. • Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift). • Proficiency with CI/CD, source control, design reviews, and integrating observable practices. • Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.

🏖️ Benefícios

• Bonus program and equity in a fast-growing startup • Competitive salary and stock options in a fast-growing startup • Employer-paid medical, dental and vision coverage • Health Savings Account with annual employer contributions • Life Insurance • Uncapped paid time off policy • Flexible work & remote work policy • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)