Senior Data Services Engineer

Sagent

Senior Data Services Engineer designing, building, and optimizing data solutions for Sagent's Mortgage Servicing platform. Collaborating across teams and providing technical leadership for data engineering processes.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data pipelines and services using Python, with a strong focus on ETL/ELT processes and cloud platforms like AWS, Azure, or GCP. Proven ability to optimize database performance and provide data-driven insights to support strategic decision-making.

Highest-signal resume keywords

Python ProgrammingETL/ELT Pipeline DevelopmentCloud Platform Experience (AWS, Azure, GCP)Relational and NoSQL Database ManagementData Analysis and Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonETL/ELT ProcessesData Pipeline DevelopmentRelational DatabasesNoSQL DatabasesObject-Oriented DesignAPIsQuery OptimizationData ModelingProduction-Quality Code

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaborationMentorship

Tools & Technologies

FastAPIFlaskDjangoAWSAzureGCP

Industry Keywords

Mortgage ServicingFinancial ServicesData EngineeringData SolutionsBusiness Insights

Tech Stack

Tools & technologies

AWSAzureCloudDjangoETLFlaskGoogle Cloud PlatformNoSQLPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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