Senior Data Services Engineer
New
S
SagentMortgage Servicing
Remote U.S.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4 years of experience
- Required Skills
- PythonSQLCloud ComputingDjangoFlaskData engineeringFastAPINosql
Requirements
- Four-year college degree in a relevant discipline with 4 years of experience, or equivalent experience.
- Strong proficiency in Python for data engineering, automation, and analysis including object-oriented design and production-quality coding practices.
- Experience designing and developing Python-based backend services with FastAPI, Flask, or Django.
- Solid experience with object-oriented practices, APIs, database integrations, and dependency management.
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Solid experience with relational and/or NoSQL databases, 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 domain.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Responsibilities
- 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, leveraging managed services for storage, compute, and orchestration.
- Design, tune, and maintain relational and NoSQL databases to support high-volume, high-availability data workloads.
- Utilize advanced data preparation, modeling, analysis, and visualization techniques to extract insights and knowledge from data.
- Provide guidance and mentorship to junior engineers in data engineering and analysis best practices.
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