Data Services Engineer SR
Why you'll LOVE Sagent: You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it! By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers. Sagent powers servicers and consumers. You power Sagent! Overview: We are a leading Mortgage Servicing, SaaS-based company that thrives on innovation and excellence. We are currently seeking an experienced Senior Data Services Engineer to design, build, and optimize the data solutions that power our Mortgage Servicing platform. This individual will serve as a technical expert in data engineering, applying strong programming, cloud, and database skills to solve complex business problems and enable data-driven decision making across the organization. The ideal candidate combines strong software engineering fundamentals with deep expertise in Python, cloud platforms, and database technologies, and brings an understanding of Mortgage Servicing or Financial Services to help ensure technical solutions align with real business and regulatory needs. Your day-to-day at Sagent: Data Engineering and Development: 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. Cloud & Database Engineering: 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. Data Analysis and Insight Generation: 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. Technical Leadership and Collaboration: 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. We would love to hear from you if you have: 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. Str...