Data Analytics Engineer at dv01 in Remote

Summary: dv01 is a data-driven company focused on providing transparency in the structured finance market. The Data Analytics Engineer will bridge the engineering and analyst teams, manage data pipelines, and work with both internal and external stakeholders to enhance data-driven decision-making. Responsibilities: - Operate as the bridge between the engineering and analyst teams, contributing to a variety of integral processes that drive dv01 on a daily basis - Own managing and scaling the business logic in our data pipeline, encapsulating all the knowledge we've accumulated across hundreds of datasets - Work directly with internal and external stakeholders, connecting with customers to understand the complexities of the data dv01 manages - Work with popular, modern, and exciting open source technologies like dbt, Airflow and Apache Spark Required Qualifications: - Demonstrated early career success or a portfolio of projects as a data engineer - Capable 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 wrangling messy raw data into a usable state - Ability to express complex business logic as code - Experience configuring new and debugging existing pipelines - Experience using AI tools to accelerate the velocity of work without compromising code quality - Interested and experienced in both engineering and finance - Ability to understand how investors evaluate loan portfolios and the complexities of amortization, prepay, and default - A 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 Required Skills: Python, Scala, Java, SQL, Relational Data Concepts, Data Pipeline Management, Big Data Tools, AI Tools, Google Cloud Platform, dbt, Airflow, Apache Spark, Financial Data Analysis Benefits: Unlimited PTO., $1,000 Learning & Development Fund., Remote-First Environment., Health Care and Financial Planning., Stay active your way!, New Family Bonding.