Senior Data Engineer

Vaga não está no LinkedIn

🕒 Agosto 27

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.700 - $149.275 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 26%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Empower

10.000+ funcionários

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

A Empower é uma fornecedora líder de serviços financeiros focada em ajudar indivíduos e organizações a alcançar a liberdade financeira através do planejamento de aposentadoria e da gestão de investimentos. Atendendo a mais de 19 milhões de americanos, a Empower oferece um conjunto abrangente de serviços relacionados a finanças, incluindo planejamento inteligente e aconselhamento de investimento, além de ferramentas como o Empower Personal Dashboard™ para uma visão financeira completa. A empresa é renomada como uma das principais provedoras de planos de aposentadoria e trabalha de perto com investidores pessoais, poupadores de planos no local de trabalho, patrocinadores de planos e profissionais financeiros. A Empower também é reconhecida por suas iniciativas em Diversidade, Equidade, Inclusão e tem um compromisso social que fortalece o impacto na comunidade.

Descrição

• Design, develop, maintain, and optimize scalable data and file ingestion frameworks • Collaborate with cross-functional value stream teams, analysts, business stakeholders, architects, testers, and colleagues to refine data requirements and develop technical solutions • Implement data governance and security best practices • Troubleshoot data integrity, data application, and performance issues • Participate in code reviews and enforce coding standards • Mentor junior engineers and provide technical guidance on complex projects • Contribute to architectural decisions and design discussions • Support strategic initiatives addressing core data application issues and process automation • Stay current with data engineering trends and technologies and improve the data framework • Complete other duties as assigned

🎯 Requisitos

• Bachelor's degree in computer science or a related field, including Information Systems, Mathematics, or Software Engineering, or an equivalent combination of training and experience • 4 to 6 years of data engineering experience with a proven track record of designing and implementing scalable ingestion frameworks • Proficiency in ETL development and design using Python, PySpark, and Big Data technologies, including Hadoop and Spark • Strong SQL knowledge and RDBMS experience with Postgres, Redshift, or MySQL • Hands-on experience with AWS using DynamoDB, EMR Serverless, Lambdas, and related technologies • Deep understanding of data modeling, ETL processes, and data warehousing concepts • Experience working with Agile methodology and Scrum processes • Excellent written and verbal communication skills • Excellent problem-solving skills and ability to work independently and lead more junior engineers • Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT • 3+ years of IT experience in the financial industry or another highly regulated industry • Experience using JIRA in Agile development • Knowledge of DevOps and CI/CD best practices • Experience with QuickSight and Co-Pilot • Reliable high-speed internet with a wired connection and an adequate home work environment

🏖️ Benefícios

• Medical, dental, vision and life insurance • 401(k) plan with generous company matching contributions (up to 6%) • Financial advisory services • Potential company discretionary contribution • Broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment with the option to wear jeans • Generous paid time off upon hire • Ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Paid parental leave • Paid short- and long-term disability • Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) open to all • Reliable high-speed internet with a wired connection and a home workspace; necessary computer equipment provided

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