Senior Data Services Engineer

🕒 Yesterday

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Sagent

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

☁️ SaaS

Consulting • Healthcare • SaaS

Sagent is a mortgage-servicing software provider offering Dara, an industry-first, unified servicing platform that centralizes data and user experiences for loan servicers and homeowners across the full servicing lifecycle. Dara provides core servicing operations, a mobile-first consumer experience, default and loss-mitigation workflows, automated onboarding and document management, real-time analytics and compliance auditing, and embedded AI for document automation, predictive insights, and generative chat. The platform is aimed at reducing operational costs, speeding onboarding, improving customer engagement, and ensuring regulatory compliance for servicers handling all loan types.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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