Data Analytics Engineer

About the role

Join dv01, a fast-growing data analytics company, as a Data Analytics Engineer. In this role, you will bridge the engineering and analyst teams, manage and scale the business logic in our data pipeline, work directly with internal and external stakeholders, and utilize state-of-the-art technology. Enjoy benefits such as remote work, unlimited PTO, and nearly 100% paid health insurance. Key missions: Be the bridge between engineering and analyst teams, contributing to the integration of new datasets and managing the business logic in the data pipeline.. Work directly with internal and external stakeholders to understand the complexities of the data managed by dv01.. Utilize state-of-the-art technology, including dbt, Airflow, Apache Spark, and Google Cloud Platform, to enhance data processing and analytics. Profile: - Excited about big data and AI tools. You’ve worked on projects that require tasks such as wrangling messy raw data into a usable state, expressing complex business logic as code, and configuring new and debugging existing pipelines. You’ve used AI tools to accelerate the velocity of your work without compromising the quality of the code you produce - A data engineer on a fast growth trajectory, demonstrated through early career success or a portfolio of projects. You are capable of writing production-ready code in a language such as Python, Scala or Java as well as being highly proficient in SQL. You write efficient, well-structured code while accounting for resource and performance constraints - A highly collaborative engineer and clear communicator who is 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 - Knowledgeable about relational data concepts. You are able 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 - Interested and experienced in both engineering and finance. You're looking to grow your skills in both disciplines and are excited about the synergies between finance and technology. You’re capable of understanding how investors evaluate loan portfolios and the complexities of amortization, prepay, and default