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Dv01
Data Analytics Engineer I
engineeringfull-timeRemote - USA
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
fintech
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About the role
You Will:
- 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. The skills you develop here will serve you well beyond dv01.
You Are:
- 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.
- 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.
- 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.
- 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.
- 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
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