Who We Are
At Newrez, we bring big thinkers and caring doers together to make home happen. We’re a team built on heart and hustle, united by a commitment to show up for our customers, our communities, and each other. We believe that when our people thrive, homeowners thrive - and that’s why we invest in your growth, wellbeing, and ability to make an impact.
Every day, we work to exceed the expectations of our residential mortgage borrowers and business partners through superior service, simple processes, and clear communication. We do this by empowering our employees, encouraging innovative solutions and recognizing great performance.
The AI Data Engineer builds and maintains data pipelines that deliver clean, reliable data for machine learning and analytics. The role uses SQL and Python to transform raw data into production‑ready datasets and supports model deployment with stable data flows. It also assists with Generative AI needs, including vector databases, RAG workflows, and unstructured data ingestion. Overall, the position ensures the data foundation required for scalable AI and automation across the organization.
Essential Functions, Duties, and Responsibilities
- Data Pipeline Engineering: Design, build, and maintain robust, scalable data pipelines that support machine learning model development, deployment, and monitoring.
- Extract, clean, and transform large datasets using advanced SQL and Python to produce high-quality feature sets and curated analytical datasets.
- Monitor data pipelines and downstream dependencies to ensure reliability, performance, and data quality for production models and reporting.
- Partner with data scientists, ML engineers, and product managers to operationalize models, supporting data versioning, reproducibility, model inputs/outputs, and production data dependencies.
- Build and optimize data pipelines for Generative AI applications, including managing vector databases, implementing RAG (Retrieval-Augmented Generation) data patterns, and automating the ingestion of unstructured data for model fine-tuning. (strong)
- Learn and apply data engineering best practices within the financial and lending domain, with mentorship provided regarding specific regulatory compliance standards.
- Ability to effectively and accurately convey information to others.
- Performs related duties as assigned by management.
Qualifications and Education Requirements
- Bachelor’s degree in a quantitative field or technical field.
- 2-4 years of hands-on experience in data engineering, analytics engineering, or a closely related role.
- Prior mortgage experience is a plus, but a proven ability to engineer high-quality data solutions is key.
- Expert proficiency in SQL and strong experience with Python for data processing and automation.
- Understanding of API-based model integration (e.g., OpenAI, Anthropic) and AI orchestration frameworks to design data architectures that ensure high-speed model responses and seamless real-time AI consumption.
- Must possess strong proficiency in Python and SQL.
Skills, Abilities, and Knowledge
- Familiarity with machine learning workflows, feature engineering, and production data requirements for ML systems
- Hands-on experience building reliable data workflows, ideally using big data tools and cloud platforms.
- Strong verbal communication skills; strong writing and composition abilities.
- Strong interpersonal skills with the ability to develop and maintain effective and professional relationships across the organization and with customers.
- Strong influencing and negotiation skills; consultative and collaborative work style.
- High learning agility with the ability to learn and integrate business variables and learn new systems and platforms.
- Strong analytical skills & problem-solving abilities; solid decision-making abilities coupled with sound judgment.
- Effective at managing multiple priorities under tight deadlines in a fast-paced, dynamic environment.
- Strong project management and time management capability.
- Self-directed and comfortable working with ambiguity and uncertainty.
- High degree of professional maturity, integrity, ability to maintain confidential data and information.
- High degree of business acumen; strong technical aptitude.
Work Environment and Physical Requirements
- Working on-site at assigned office location.
- Regular and punctual attendance adhering to schedule established by leadership.
- Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours to meet deadlines or as business needs demand.
- Working in a cubicle hub, maintaining focus on phone calls in a noisy environment within earshot of multiple other conversations.
- Sedentary work in a stationary position at a cubicle for prolonged periods of time.
- Constant repetitive motions required for operating a computer, such as typing and managing phone calls.
- Constantly communicating effectively verbally in English, including accurately exchanging information with others following identification of correct procedures.
Additional Information:
While this description is intended to be an accurate reflection of the position’s requirements, it in no way implies/states that these are the only job responsibilities. Management reserves the right to modify, add or remove duties and request other duties, as necessary.
All employees are required to have smart phones that meet Company security standards with the ability to install apps such as Microsoft Authenticator. Employment will be contingent on this requirement.
Why Newrez
We’re a great place to work because we invest in what matters: your career, your community, your wellbeing, and your future. Our total rewards package is designed to support your whole self.
Company Benefits:
We offer benefits, programs, and perks that support you in every aspect of your life.
Medical, dental, and vision insurance
Health Savings Account with employer contribution
401(k) Retirement plan with employer match
Paid Maternity Leave/Parental Bonding Leave/Caregiver Leave
Adoption Assistance
Tuition & Certification reimbursement
Employee Mortgage Loan Program
The Newrez Employee Emergency and Disaster Fund is a program to support our team members experiencing hardships
Newrez NOW:
Through Newrez NOW, our Corporate Social Responsibility program, you’ll have opportunities to give back, lead, and make a difference.
1 company-paid Volunteer Time Off day (with over 40,000 volunteer hours contributed since our inception)
Matching Gifts Program - dollar-for-dollar up to $1,000
Access to grants, nonprofit resources, and volunteer opportunities
More than $6,000,000 donated since 2020
1 in 5 employees participates in at least one Employee Resource Group (ERG)
Equal Employment Opportunity
We're proud to be an equal opportunity employer- and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Different makes us better.
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