Data Analytics Engineer

dv01 is a data-first company focused on providing transparency in the structured finance market. The Data Analytics Engineer will bridge engineering and analyst teams, manage business logic in data pipelines, and collaborate with stakeholders to enhance data usability and decision-making.

Responsibilities:

• Be at the heart of dv01. You’ll operate as the bridge between the engineering and analyst teams, contributing to a variety of integral processes that drive dv01 on a daily basis. Every new dataset that gets integrated within dv01 will have your fingerprints all over it
• Be an owner of dv01's most valuable asset. You'll own managing and scaling the business logic in our data pipeline, encapsulating all the knowledge we've accumulated across hundreds of datasets. The output from the pipeline powers all of dv01's customer offerings and is critical to the success of our business
• Work directly with internal and external stakeholders. You’ll work with our team of analyst experts as well as directly connecting with customers to understand the complexities of the data dv01 manages
• Work with state-of-the-art technology. You'll work with popular, modern, and exciting open source technologies like dbt, Airflow and Apache Spark. Everything we do is cloud-native on Google Cloud Platform, utilizing tools including BigQuery, Cloud Run and Dataproc

Requirements:

• Demonstrated early career success or a portfolio of projects as a data engineer
• Capability of writing production-ready code in a language such as Python, Scala, or Java
• Highly proficient in SQL
• Ability to write efficient, well-structured code while accounting for resource and performance constraints
• Knowledgeable about relational data concepts
• Ability to understand and explain the relationship between various tables and how and why the needs of stakeholders have been captured in a particular data model
• Excited about big data and AI tools
• Experience in wrangling messy raw data into a usable state
• Ability to express complex business logic as code
• Experience in configuring new and debugging existing pipelines
• Experience using AI tools to accelerate the velocity of work without compromising code quality
• Interest and experience in both engineering and finance
• Capability of understanding how investors evaluate loan portfolios and the complexities of amortization, prepay, and default
• Highly collaborative engineer and clear communicator
• Comfortable navigating shifting priorities and moving quickly between tasks
• Thrives in environments with direct client interaction, uncovering true needs and delivering solutions that create meaningful, measurable impact