THE COMPANY

U.S. Financial Technology (U.S. FinTech) is seeking an experienced Senior Data/AI Engineer to join our team of talented professionals. This is a full-time remote opportunity.
U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.
Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.
Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.

EDUCATION

• Bachelor’s degree in computer science or a related field.

MINIMUM EXPERIENCE

• Minimum 5 years of experience in building data driven solutions.
• At least 3 years of experience working with AWS services.
• Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position.

SPECIALIZED KNOWLEDGE & SKILLS

• Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
• Strong scripting experience using Python and SQL.
• Working knowledge of foundational AWS compute, storage, networking and IAM.
• Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus.
• Solid scripting experience in AWS using Lambda functions.
• Knowledge of CloudFormation template preferred.
• Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Snowflake.
• Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services.
• Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
• Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
• Strong understanding of data security – authorization, authentication, encryption, and network security.
• Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred.
• Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred.
• Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts.
• Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.
• Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
• Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
  Pay Range $141,750 to $165,000
  U.S. FinTech’s pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate’s qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits.