Analytics Engineer
Machinify180,000 - 200,000 USD/year
- Full Time
- Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Fintech, Data & AnalyticsIndustries
Requirements
Candidates should possess 3+ years of professional experience writing production-ready code in a language such as Python, DBT, Scala, or Java, and be highly proficient in SQL. Experience working with data pipelines, particularly those related to loans, is preferred.
Responsibilities
As a Data Analytics Engineer, you will operate as the bridge between engineering and analyst teams, contributing to integral processes that drive dv01 on a daily basis, owning the management and scaling of the business logic in the data pipeline, encapsulating knowledge across hundreds of datasets, and working directly with internal and external stakeholders to understand data complexities. You will also work with state-of-the-art technology including DBT, Airflow, Apache Spark, BigQuery, Cloud Run, and Dataproc, and contribute to the expansion of dv01’s coverage of new markets and development of new technologies.
Skills
Python
DBT
Scala
Java
SQL
Data Pipelines
Loan Data
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.
Key Metrics
New York City, New YorkHeadquarters
2014Year Founded
$35.5MTotal Funding
SERIES_BCompany Stage
Fintech, Social Impact, Financial ServicesIndustries
51-200Employees