[Remote] Data Engineer at Sagent

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Mortgage, Fintech, SoftwareIndustries

Requirements

Bachelor’s degree in computer science, Information Technology, or relevant discipline
3-5 years of experience as a data engineer, developer, data warehouse consumer and/or data related operations
Proficiency in applying a theoretical knowledge base to achieve goals through independent work
Experience in data extraction, transformation, and loading (ETL) techniques to connect large datasets from various sources
Demonstrated ability to create data collection frameworks for structured and unstructured data
Proficiency in developing and maintaining infrastructure systems, such as data warehouses and data lakes, including data access APIs
Strong understanding of data standards, governance routines, and data quality monitoring controls to meet business needs
Experience applying a structured methodology for delivering new or enhanced products to the marketplace
Proficient in refining project goals and tactics to achieve those goals; understands the value of development management and project management frameworks and best practices

Responsibilities

Leading the design and implementation of comprehensive data solutions
Applying data extraction, transformation, and loading techniques to connect large datasets from diverse sources, ensuring data consistency and integrity
Developing and maintaining infrastructure systems, including data warehouses and data lakes, and data access APIs
Defining data standards, governance routines, and data quality monitoring controls to ensure compliance with business needs and regulatory requirements
Implementing processes and procedures to maintain data quality and consistency across the organization
Researching current industry, market, and technology trends to identify opportunities for innovation and business enablement
Applying knowledge and experience to drive the adoption of new technologies and methodologies to improve data architecture and management practices
Managing all aspects of all sizes and complexities of multiple projects

Skills

Data Extraction

Data Transformation

Data Loading

Data Warehousing

Data Lakes

Data Governance

Data Quality

Data Standards

API Development

Data Architecture

Sagent

Modernizes mortgage loan servicing with software

About Sagent

Sagent modernizes mortgage loan servicing for banks and lenders by providing software solutions that enhance efficiency and user experience. Their products include AI-embedded tools for automating documents, offering real-time predictive insights, and generative AI-based chat features. These tools enable financial institutions to manage millions of consumer loans effectively while ensuring compliance and operational efficiency. Sagent primarily serves banks and mortgage lenders, operating on a software-as-a-service (SaaS) model that generates revenue through subscriptions and service contracts. Their platforms focus on a mobile-first consumer experience, allowing homeowners to manage their mortgages easily, resolve issues quickly, and access expert advice, which boosts customer satisfaction and helps financial institutions lower costs and improve servicing values.

Upper Merion Township, PennsylvaniaHeadquarters

2018Year Founded

$17MTotal Funding

M_AND_ACompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Health Insurance

Unlimited Paid Time Off

Family Planning Benefits

Tuition Reimbursement

Paid Family Leave

401(k) Company Match

Pet Insurance

Professional Development Budget

Company Social Events

Risks

Emerging fintech startups may erode Sagent's market share.

Data privacy concerns could lead to regulatory scrutiny and affect client trust.

Economic downturns in the housing market may impact Sagent's revenue.

Differentiation

Sagent offers AI-embedded tools for document automation and predictive insights.

The company provides a mobile-first consumer experience for mortgage management.

Sagent's generative AI-based chat capabilities enhance customer service in mortgage servicing.

Upsides

Growing demand for AI-driven mortgage servicing solutions boosts Sagent's market potential.

Mobile-first solutions align with consumer demand for convenient mortgage management.

SaaS model provides Sagent with recurring revenue and scalable solutions.

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