[Remote] Data Analytics Engineer at dv01

United States

dv01 Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, FintechIndustries

Skills

Key technologies and capabilities for this role

Data Pipeline ManagementData IntegrationBusiness LogicStakeholder ManagementCustomer InteractionData Analysis

Questions & Answers

Common questions about this position

What experience is required for the Data Analytics Engineer role?

Candidates need 3+ years of professional experience writing production-ready code in languages such as Python, DBT, Scala or Java, along with high proficiency in SQL, and 2+ years working directly with data pipelines.

What technologies will I work with in this position?

You'll work with modern open source technologies like DBT, Airflow, and Apache Spark, all cloud-native on Google Cloud Platform using tools including BigQuery, Cloud Run, and Dataproc.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What kind of collaboration is involved in this role?

You'll operate as the bridge between engineering and analyst teams, work directly with internal analyst experts and external customers to understand data complexities.

dv01

Data management and analytics for lending markets

About dv01

dv01 provides a data management and analytics platform specifically designed for the lending markets. It offers detailed insights into loan-level data for various types of loans, such as consumer unsecured loans, non-QM loans, auto loans, and student loans. The platform helps financial institutions make informed decisions by allowing them to analyze loan performance, track loans in forbearance, and evaluate their portfolios over time. dv01 differentiates itself from competitors by standardizing loan-level data and offering tools for performance metrics and ESG data analytics, which are essential for impact investments. The company's goal is to enhance transparency and intelligence in the lending market, enabling clients to identify risks, project cashflows, and compare loan datasets effectively.

New York City, New YorkHeadquarters
2014Year Founded
$35.5MTotal Funding
SERIES_BCompany Stage
Fintech, Social Impact, Financial ServicesIndustries
51-200Employees

Benefits

Unlimited Paid Time Off
$1,000 Learning & Development Fund
Remote Work Options
Health Insurance
401(k) Retirement Plan
Gym Membership
New Family Bonding

Risks

Emerging fintech competitors may erode dv01's market share.
Fitch Group acquisition may disrupt existing client relationships or operational focus.
Reliance on partnerships like GoodLeap exposes dv01 to potential risks if they dissolve.

Differentiation

dv01 offers unparalleled loan-level transparency and insight into lending markets.
The platform integrates data from 16 marketplace lending platforms and multiple mortgage servicers.
dv01 provides standardized, cleansed loan-level data for efficient risk identification and cashflow projections.

Upsides

Growing demand for ESG data analytics aligns with dv01's offerings.
Collaboration with Fitch Ratings enhances dv01's position in non-agency RMBS markets.
Increased regulatory scrutiny on data transparency boosts demand for dv01's services.

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