Data Analytics Engineer

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, FintechIndustries

Requirements

Candidates should have 3+ years of professional experience writing production-ready code in Python, DBT, Scala, or Java, with high proficiency in SQL and the ability to write efficient code considering resource and performance constraints. A minimum of 2 years of professional experience working directly with data pipelines, ideally with exposure to loan datasets, is required. Familiarity with relational data concepts, big data tools, and cloud-native technologies like Google Cloud Platform (BigQuery, Cloud Run, Dataproc), DBT, Airflow, and Apache Spark is essential. Experience in both engineering and finance, with an understanding of investor evaluation of loan portfolios, is also necessary.

Responsibilities

The Data Analytics Engineer will act as a bridge between engineering and analyst teams, contributing to integral processes and managing the business logic within the data pipeline. This role involves integrating new datasets, encapsulating accumulated knowledge, and ensuring the pipeline powers all customer offerings. Responsibilities include working directly with internal stakeholders and customers to understand data complexities, translating requirements into code, and optimizing data storage and computation within large datasets.

Skills

Data Pipeline Management

Data Integration

Business Logic

Stakeholder Management

Customer Interaction

Data Analysis

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