Data Engineer

Vaga não está no LinkedIn

🕒 Março 17

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $120.000 - $140.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🚰 Engenheiro de Dados

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Traackr

SiteLinkedInTodas as Vagas

51 - 200 funcionários

☁️ SaaS

SaaS • Marketing

A Traackr é uma plataforma de software de marketing de influenciadores projetada para profissionais de marketing orientados por dados. A plataforma simplifica o marketing de influenciadores, fornecendo ferramentas para descoberta, gestão de campanhas, colaboração com influenciadores e relatórios. A Traackr foca em ajudar os usuários a fazerem investimentos mais inteligentes, oferecendo um conjunto abrangente de dados globais de influenciadores, avaliação de mercado e orientação especializada. Atende tanto a pequenas equipes quanto a programas complexos, sendo utilizada por grandes marcas para otimizar estratégias e medir o retorno sobre o investimento.

Descrição

• Develop, maintain, and optimize data pipelines for analytics and machine learning workloads. • Ensure reliability, scalability, and performance of data workflows. • Implement data ingestion from internal and external sources. • Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis. • Build and maintain Databricks-based data pipelines and workflows. • Monitor, debug, and improve data pipeline performance and platform efficiency. • Develop tools and frameworks to automate data operations and ensure data quality. • Work with product and engineering teams to translate data requirements into solutions. • Participate in code reviews and follow data engineering best practices. • Maintain documentation and contribute to improving data engineering standards and tooling.

🎯 Requisitos

• 2–4 years of experience in Data Engineering, Analytics Engineering, or a related field. • Experience building and maintaining data pipelines and ETL/ELT workflows. • Proficiency in Python and SQL for data processing and transformation. • Experience working with Databricks, Spark, or similar distributed data processing platforms. • Familiarity with data ingestion from APIs, databases, or cloud storage systems. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Understanding of data modeling, data warehousing, and data quality practices. • Familiarity with version control (e.g., Git) and collaborative development workflows. • Ability to work collaboratively with Data Scientists, Analysts, and Engineers. • Strong problem-solving and communication skills.

🏖️ Benefícios

• Competitive Salary • Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend • Coworking Office Subscription for Collaborative Spaces • Health, Dental, and Life Insurance Coverage* • Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs • Paid Parental Leave to Support Quality Time with Your Loved Ones • Career Development, including Internal and External Training Opportunities