[Remote] Data Engineer at Sagent

Remote

Sagent Logo
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

Key technologies and capabilities for this role

Data ExtractionData TransformationData LoadingData WarehousingData LakesData GovernanceData QualityData StandardsAPI DevelopmentData Architecture

Questions & Answers

Common questions about this position

What experience level is required for this Data Engineer role?

A Bachelor’s degree in computer science, Information Technology, or relevant discipline with 3-5 years of experience as a data engineer, developer, data warehouse consumer, and/or data related operations is required.

What key technical skills are needed for this position?

Key skills include experience in ETL techniques for large datasets, creating data collection frameworks for structured and unstructured data, developing data warehouses, data lakes, and data access APIs, plus knowledge of data standards, governance, and quality monitoring.

Is this Data Engineer position remote?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Data Engineer job?

Strong candidates have 3-5 years of relevant experience, proficiency in ETL, data infrastructure like warehouses and lakes, data governance, and the ability to apply theoretical knowledge independently while researching trends for innovation.

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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