Senior Data Services Engineer

🕒 Julho 31

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

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Sagent

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

💼 Consultoria

🏥 Saúde

☁️ SaaS

Consulting • Healthcare • SaaS

A Sagent capacita bancos e credores a tornar os empréstimos e a posse de imóveis mais simples e seguros para milhões de consumidores.

Descrição

• Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks. • Develop and optimize ETL/ELT processes to extract, transform, and load data from a variety of sources into cloud-based data platforms. • Write efficient, well-tested, production-quality code to support data ingestion, transformation, and delivery. • Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. • Design, tune, and maintain relational and NoSQL databases to support high-volume, high-availability data workloads. • Monitor and optimize database and pipeline performance, troubleshooting issues to ensure reliability and scalability. • Utilize advanced data preparation, modeling, analysis, and visualization techniques to extract insights and knowledge from data. • Investigate complex business problems and provide actionable, data-driven insights to support strategic decision-making. • Serve as a technical leader, providing guidance and mentorship to junior engineers in data engineering and analysis best practices. • Collaborate with cross-functional teams — including Product Management, Business Analysts, and Software Engineering — to design and implement data-driven solutions.

🎯 Requisitos

• Completion of a four-year college degree in a relevant discipline with 4 years of experience in a related field, or completion of an advanced degree (Masters or higher) in an applicable and relevant field, or equivalent experience will be considered in lieu of a degree. • Strong proficiency in Python for data engineering, automation, and analysis including object-oriented design, modular application development, and production-quality coding practices. • Experience designing & developing Python based backend services with any of FastAPI/Flask/Django. • Solid experience on Object oriented practices, APIs, database integrations and dependency management. • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including their core data and storage services. • Solid experience with relational and/or NoSQL databases, including schema design, query optimization, and performance tuning. • Proven experience building and maintaining ETL/ELT pipelines and data workflows. • Experience in Mortgage Servicing or Financial Services, with an understanding of how technical solutions support business and regulatory needs. • Strong analytical and problem-solving skills. • Excellent communication skills and the ability to collaborate effectively across technical and business teams.

🏖️ Benefícios

• Remote/Hybrid workplace options • Health Benefits • Unlimited Flexible Time Off • Family Planning Services • Tuition Reimbursement • Paid Family Leave • 401(k) Matching • Pet Insurance • In-person and Virtual Social Experiences • Career Pathing • Focus Time Fridays